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Purpose This study aims to test a proposed model that examines the mediating role of psychological meaningfulness and the moderating role of organizational identification in the relationship between visionary leadership and job crafting. Design/methodology/approach The study used a survey to collect data from 242 employees from various sectors in Jordan. The collected data was used to examine how visionary leadership impacts job crafting behaviors, relying on partial least squares structural equation modeling to test the study’s hypotheses. Findings By testing the proposed hypotheses, the results provided evidence that a positive relationship exists between visionary leadership and job crafting. Furthermore, the results indicated that psychological meaningfulness is a mediator. Lastly, the authors found that the relationship between visionary leadership and job-crafting behaviors is moderated by organizational identification. Research limitations/implications The study has limitations that should be considered. First, the cross-sectional design impedes establishing causal relationships between variables (Setia, 2016). Future research should use longitudinal or experimental designs for more robust evidence on the directionality and causality of identified relationships. Second, using self-report measures introduces potential common method bias. To enhance reliability, future studies could explore objective measures or alternative data collection methods. Lastly, the study’s findings are based on a specific sample and context, raising concerns about generalizability. Addressing this limitation requires replication across diverse industries, organizational sizes and cultural contexts to validate external validity. Practical implications This study emphasizes practical implications for organizations, advocating the development of visionary leadership skills to inspire an environment conducive to job crafting. Nurturing psychological meaningfulness is also crucial, with training programs designed to enhance both visionary leadership and the meaningfulness of work experiences. Additionally, the study underscores the amplifying role of organizational identification in strengthening the positive effects of visionary leadership on employees’ sense of purpose, suggesting initiatives to foster a sense of belonging for collective success. Social implications Socially, encouraging visionary leadership and meaningful work can enhance job-crafting behaviors, fostering a positive workplace culture. Emphasizing organizational identification may contribute to a sense of purpose among employees, promoting collective success. By prioritizing these aspects, organizations can positively impact the well-being and engagement of individuals within the broader social context, potentially influencing societal perceptions of work and leadership. Originality/value This study explores how visionary leadership affects job crafting through psychological meaningfulness and organizational identification. It shows that visionary leadership positively influences job crafting, emphasizing leaders’ role in fostering commitment. Using a moderated mediation model, it provides new insights into job crafting across various contexts.

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Purpose This paper aims to assess the maturity level in the strategic risk management of an agricultural cooperative’s supply chain. Design/methodology/approach A descriptive qualitative research approach was employed for a case study. Four interview scripts were administered to 15 stakeholders within the supply chain and subjected to content analysis. Findings The findings reveal 23 strategic risks in the supply chain, whereas the maturity assessment identified five dimensions at the “Defined” level and two at the “Fragmented” level. To elevate the risk management maturity, this paper delineated 22 intervention actions. Research limitations/implications The theoretical contribution is the presentation of the various maturity assessment models and how they can be employed in studies on agribusiness supply chain risks. Practical implications Managerial implications underscore the formal establishment of a risk governance unit, the appointment of a Chief Risk Officer (CRO) and the constitution of an interdisciplinary risk management committee. Social implications Cooperatives contribute to adding value to rural production in many regions and project small and medium-sized producers in global markets. They play an economic and social role, promoting fair prices and providing services to members and the community. Efficient risk management can contribute to fostering the social role of cooperatives. Originality/value No maturity model for risk management in agribusiness supply chains is listed in the literature. This study can contribute to the development of such maturity models.

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Purpose This study aims to investigate agribusiness organizations’ resilience in Mato Grosso do Sul, Brazil, and its implications for sustainability. Design/methodology/approach Using the Benchmark Resilience Tool model, a multi-case study examined three organizations representing different agribusiness supply chain stakeholders: a rural firm, a farmer’s union and an agriculture cooperative. Each organization successfully navigated recent crises. Findings Organizations exhibit varying resilience levels. The rural firm prioritizes financial management but lacks governance, necessitating enhancements in governance, risk diversification and resilience training for sustainability. The farmer’s union, with robust governance, can bolster resilience and sustainability via innovation and external partnerships. The cooperative, although proactive, should target resource resilience and knowledge sharing to enhance sustainability. Research limitations/implications This study focused exclusively on Mato Grosso do Sul agribusiness organizations. Further research could explore other regions and industries to provide a more comprehensive understanding of the relationship between resilience and sustainability. The small sample size is also a limitation. Practical implications The research identified six strategies through which organizations can enhance sustainability through resilience mechanisms. By integrating the proposed strategies, organizations can navigate the modern business environment while aligning with long-term sustainability goals. Social implications The lessons learned from this study underscore the pivotal role of resilience in advancing sustainability goals, promoting responsible practices and contributing positively to social facets of organizations. Originality/value This study contributes to the synergy between organizational resilience and sustainability. It underscores resilience’s pivotal role in achieving sustainability objectives, promoting responsible practices and positively impacting organizations’ environmental, social and economic aspects.

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Purpose This study aims to investigate how small and medium enterprises (SMEs) in developing countries can leverage customer relationship management (CRM) for business growth. It extends the Technology–Organization–Environment (TOE) framework by incorporating digital leadership and examining its role in moderating the effects of technological and organizational contexts on CRM adoption. Design/methodology/approach The research uses a quantitative, descriptive and cross-sectional approach, collecting data from 223 SMEs in Indonesia supported by Jadah Tempe Kaliurang Small and Medium Industries, which have already adopted CRM. Data analysis was conducted using SEM-PLS with SmartPLS. Findings The study finds that environmental factors and digital leadership are crucial for CRM adoption in SMEs, while technological and organizational factors have minimal impact. Notably, digital leadership negatively moderates the effect of organizational context on CRM adoption. Research limitations/implications The study emphasizes the need to integrate digital leadership into the TOE framework for a more comprehensive understanding of CRM adoption. Practical implications The results help SMEs identify key factors affecting CRM adoption and develop strategies for successful implementation, highlighting the importance of digital leadership. Social implications The study underscores that SME leaders in developing countries must enhance their digital skills to adopt CRM effectively. Originality/value This research contributes to the TOE framework by showing digital leadership’s critical, albeit unexpectedly negative, role in CRM adoption among SMEs.

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Purpose This paper aims to identify and explain the main transaction costs (TCs) in the second-generation bioplastics value chain and to propose the insertion of blockchain technology to reduce TCs. Design/methodology/approach It is a holistic single case study of a firm that produces a bioplastic resin made from açaí seeds residues. It analyzed transactions occurred between input supplier (cooperative) and resin factory and between resin factory and transformation industry. Findings Dominant TCs result from monitoring specific attributes of pretreated açaí seeds and biopolymers, supplier selection, environmental purchasing, time and place specificity, quality control management and technological specificity. Research limitations/implications Blockchain can potentially reduce TCs by enhancing trust, transparency, material traceability and information exchange. Practical implications Blockchain can support the further development and commercialization of genuine biodegradable bioplastics by assuring product quality and functioning as a distributed database for stakeholders, minimizing a specific type of opportunism: “greenwashing”. Social implications This study can help create metrics and policies to achieve the United Nations’ Sustainable Development Goal related to consumption and production patterns by doing better with less and increasing resource efficiency while contributing to strengthening Brazil’s circular (bio)economy. Originality/value This study’s originality lies in framing the most important challenges regarding TCs in developing bioplastics chains, which can be significantly reduced using a particular distributed database technology.

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Purpose This study aims to identify and analyze speculative bubbles in the Tunisian stock market from 2004 to 2023 and examine the evolution of return volatility during these periods. Design/methodology/approach The research uses the Supremum Augmented Dickey-Fuller (SADF) and Generalized Supremum Augmented Dickey-Fuller (GSADF) tests, alongside Monte Carlo and bootstrap simulations (Sieve-bootstrap and Wild-bootstrap), to detect speculative bubbles. The Markov-Switching Generalized Autoregressive Conditional Heteroskedasticity model is used to analyze volatility regimes. Findings The study identifies multiple speculative bubbles with varying timing, duration and response to external events. The GSADF test proves more effective than the SADF test for detecting longer, more frequent bubbles. Despite methodological differences, strong correlations among bootstrap techniques improve bubble identification. Bubble periods align with a high-volatility regime (regime 2), emphasizing volatility’s role in bubble formation. Research limitations/implications This study enhances the understanding of speculative bubble formation in emerging markets, highlighting the importance of considering national financial market specifics in bubble analysis. Practical implications The findings offer valuable insights for investors, regulators and policymakers, helping inform decisions and improve financial regulation to foster market stability. Social implications By identifying speculative bubbles, the research helps mitigate economic uncertainty, protects savings and supports financial stability, aiding policymakers in curbing excessive speculation and promoting sustainable economic growth. Originality/value This research contributes to the understanding of speculative bubbles in the underexplored Tunisian stock market, using innovative methodologies for a comprehensive analysis of bubbles and volatility dynamics.

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Purpose This study aims to investigate the relationship between proprietary equipment and anticipation of new technologies in enhancing product innovativeness and competitive performance. Design/methodology/approach It used survey data collected in the fourth round of the High-Performance Manufacturing project (HPM), which comprised 270 plants in 15 countries across three industries. The relationships proposed in this study were analyzed through structural equation modeling, confirmatory factor analysis and endogeneity tests. Findings Results show that proprietary equipment alone does not directly impact performance but can still serve as as a source of advantage since the proper mechanisms are implemented. Research limitations/implications The theoretical underpinnings of the relationship among proprietary equipment, anticipation of new technologies and training provide a strong foundation for a better understanding of the integration of the structural and infrastructural elements of operations strategy and their benefits for competitive performance. Practical implications Results show how operations managers can capitalize on proprietary equipment to anticipate new technologies by developing training routines to absorb and apply new knowledge in the plant. Social implications This research contributes to the competitiveness of manufacturing firms by showing how knowledge can be created and disseminated in their operations to develop better-prepared employees. Originality/value This study advances the literature on world-class manufacturing by demonstrating that proprietary equipment per se has no direct impact on product performance and innovativeness, contrary to what previous literature has demonstrated.

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Purpose This study aims to investigate the relationships between ethical behaviour, perceived organisational support (POS) and organisational performance within Nigeria’s Federal Ministry of Labour and Employment (FMLE). Design/methodology/approach This study uses a positivist philosophy using survey data collected from 127 FMLE employees. Structural equation modelling with partial least squares estimation was used to analyse the data and test the hypotheses. Findings The results support the hypotheses, indicating that ethical behaviour and POS positively affect organisational performance. Furthermore, job satisfaction and organisational commitment are confirmed to act as mediating mechanisms in these relationships. Research limitations/implications This study extends the application of the Organisational Support Theory to the public sector context, specifically within the FMLE domain. It demonstrates the relevance of this theory in understanding the complex interplay between ethical conduct, POS and organisational performance in the public sector. Practical implications The findings suggest that by promoting ethical behaviour and fostering a supportive organisational environment, the FMLE can enhance employee job satisfaction and organisational commitment, ultimately contributing to improved organisational performance. Social implications Improving the performance of the FMLE through ethical practices and organisational support can lead to better regulation of the labour market, ensure fair labour practices and promote social justice and economic growth in Nigeria. Originality/value This study uniquely applies Organisational Support Theory to the Nigerian public sector, specifically the FMLE. It provides valuable insights into how ethical behaviour and POS influence organisational performance in a context that has received comparatively less scholarly attention than the private sector.

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Purpose This study aims to examine the relationship between the social value of really new products (RNPs), particularly technological ones, and the intention to consume this type of product when the individual’s materialistic motivation moderates this relationship. Design/methodology/approach To achieve this objective, this study conducted a quantitative and exploratory study using non-probabilistic data collection with 211 interviewees online. A self-administered questionnaire on a fictional technological RNP (a smartphone) designed with numerous innovative features was used. The partial least squares structural equation modeling (PLS–SEM) technique was used to verify the relationships proposed in the conceptual model. Findings The results show that the social value proposition as a second-order variable, reflecting the construct’s perceived prestige and perceived conspicuity, affects the consumption intention, being enhanced by the moderation of materialistic motivation. Research limitations/implications The findings enhance the theoretical comprehension of the significance of social value in the context of RNPs, particularly technological ones, and provide evidence that materialistic motivation is a key moderator in the proposed model. As a limitation, this study is characterized as correlational and not generalizable. Furthermore, causal studies (experimental, for example) and longitudinal studies are needed to validate the effects of the constructs proposed in this model and to understand the effects of other possible intervening variables in the conceptual relationships proposed in the model. Practical implications From a managerial standpoint, developers of this type of product, marketing managers and advertising agents ought to consider the degree of conspicuity of the product and the prestige features to generate social value, always focusing on the willingness of individuals to acquire products. Social implications The study examines how RNPs can provide social value, acting as functional tools and as means of social expression. This can encourage the adoption of technologies that bring symbolic and status value to consumers, which reflects a change in consumer behavior, where technology is seen as a symbol of prestige and social differentiation. Furthermore, products with prestige features can contribute to strengthening the social identity of individuals within their social groups. Originality/value The study adds to the existing literature by arguing that RNPs can possess societal significance, challenging the notion that technological products are merely functional and demonstrating that the prestige and conspicuity characteristics of RNPs can boost consumption intention, particularly among individuals with a strong materialistic motivation. The proposed model presents a novel perspective, demonstrating that the social value of products is comprised of the amalgamation of conspicuity and prestige and how these factors influence the adoption of RNPs in the market.

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Purpose The paper aims to develop a pioneering assessment index for private policies targeting food loss and waste (FLW) reduction. Design/methodology/approach Starting with a review of seminal works on FLW, identifies variables related to corporate actions addressing FLW, process efficiency and sustainability. This process ensures that the developed indicators are robust, adaptable and suitable for diverse food processing organizations. The model’s applicability is enhanced by its alignment with publicly disclosed corporate reports, allowing a practical interface between theoretical development and market realities. Findings Introduces eight strategic indicators for evaluating private policies, FLW reduction policies, process innovations, measurement methodologies, partnerships, environmental actions, communication and the use of natural resources (water and energy). These indicators enable a nuanced evaluation of how organizations operationalize FLW strategies in markets with varying levels of development. Research limitations/implications The indicators’ effectiveness may vary depending on sectoral and regional specificities. Although this study focuses on food processing organizations, the model’s adaptability to different industries and geographical contexts offers potential avenues for further exploration. Practical implications The model provides organizations with a robust tool to monitor and refine FLW reduction strategies using transparent, evidence-based metrics. The indicators can evaluate organizational actions comparatively, across different entities or overtime, facilitating continuous improvement. Social implications Implementing FLW prevention strategies at the organizational level improves efficiency, reduces costs and promotes equitable resource allocation and environmental preservation. By applying these indicators, companies can enhance their contributions to societal goals. Originality/value An unprecedented assessment model tailored to private FLW policies, filling a critical gap in the literature. Its originality lies in its ability to operationalize sustainability in corporate contexts, enabling stakeholders to evaluate actions consistently across markets with diverse developmental profiles. The indicators’ versatility underscores their potential as a transformative tool for researchers, practitioners and policymakers.

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Purpose Excellent customer experience with doorstep delivery is one of the motivations for online purchasing and e-commerce. Optimal technology-driven last-mile delivery is the backbone of this business model. This paper aims to identify industry 4.0 (I4.0) technology-based enablers for efficient e-commerce logistics for last-mile delivery (LMD) operations. Design/methodology/approach This study adopts an empirically grounded quantitative approach for defining and analysing the I4.0 technology enablers for efficient LMD operations. It adopts interpretive structural modelling and matrice d’impacts croisés multiplication appliquée á un classement analysis to identify the dependency and relationship among the identified enablers. Findings The transformation technologies of I4.0 offer a comprehensive package to handle LMD and e-commerce business challenges. This research identified that LMD and logistics will be dominated by autonomous running vehicles, drones and robots; apart from that, in I4.0 adoption cases, the implementation of radio-frequency identification was found suitable for efficient logistics networks. In addition, digitalisation through digital twins, robots, autonomous vehicles and Internet of Things adoption was found to drive the system and is crucial for strategic action. Research limitations/implications The findings of this research help companies and the e-commerce industry to evaluate strategic technological investments in promising I4.0 for LMD. The study also helps managers to focus on initiating and integrating digital technologies and autonomous vehicles, drones and robots focused on LMD improvement. Practical implications The findings of this research help companies and the e-commerce industry to evaluate strategic technological investments in promising I4.0 for LMD. The study also helps managers to focus on initiating and integrating digital technologies and autonomous vehicles, drones and robots focused on LMD improvement. Social implications Industry 4.0 technologies enable more efficient route planning, reducing fuel consumption and lowering carbon emissions. Optimised delivery networks reduce waste and ensure more efficient use of resources by using suggested technologies. Originality/value This study presents strategic insights into LMD and I4.0 enablers for the e-commerce environment. It proposes a theoretical framework that can serve as a roadmap for implementing I4.0 technologies to address unaddressed bottlenecks in LMD operations, lowering the logistics network’s efficiency.

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Purpose This article aims to investigate the relationship between business model adaptation, company performance and digitalization capability among startups during the coronavirus disease-2019 pandemic to determine whether there is a correlation among these aspects in uncertainty scenarios. Design/methodology/approach The research used a mixed approach. First, it utilized a survey-based data collection method in which over 400 Brazilian startups participated, representing diverse demographic and cultural characteristics. Following the data analysis, the authors interviewed startup founders who participated in the first phase to enrich the discussion section. Findings The results revealed that startups with stronger digital capabilities and higher performance were associated with lower levels of business model adaptation. However, this association was observed primarily in the dimensions of value creation and value capture, and not in value delivery. Research limitations/implications The limitation of this study includes the cross-sectional data collection, which prevents the assessment of causality between variables. Practical implications The findings suggest that startups should carefully evaluate their business models and adaptation strategies during uncertain periods. Social implications The social implications of this study lie in supporting public policies and initiatives for entrepreneurship and startups. Government agencies and support institutions can use the findings to better understand the challenges faced by startups during uncertain times, effectively guiding their assistance and resources. Originality/value This research contributes to the literature on business models and digitalization capability. It offers insights into the interplay between performance, digital capabilities and business model adaptation. Furthermore, the study contradicts the common sense that businesses should favor adaptation in uncertain moments, at least for startups in similar contexts.

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Purpose The paper aims to identify suitable conditional variance models for the estimation and forecasting of cryptocurrency returns volatility. Design/methodology/approach The methodology comprises the use of GARCH-family models estimated by maximum likelihood considering different scedastic functions, number of parameters and error distributions. A cross-validation approach is conducted under different market dynamics to provide robust results. Findings Results indicated that the best GARCH methods for digital coins volatility modeling and forecasting are those associated with a small number of parameters, allowing for asymmetric volatility behavior and considering normal/student distributions. Research limitations/implications The findings indicated that volatility behaves differently for each evaluated cryptocurrency, and the selection of the best scedastic function depends on the corresponding digital coin more than the period under evaluation. Practical implications Investors should prefer parsimonious GARCH structures when modeling and forecasting cryptocurrency volatility, and must consider the current state of the market as the methods lose accuracy in high-volatile periods. Social implications The work provides a better understanding of the volatility dynamics of cryptocurrencies, providing evidence of more accurate tools for risk management in this volatile market. Further, better-informed investors on the risks associated with this market are less susceptible to high price variations. Originality/value The research presents an extensive experimental study to identify the optimal GARCH structure for modeling and forecasting return volatility in digital currencies, considering various market conditions and digital coins, which yields more robust results.

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Purpose This study aims to examine the trajectories through which individuals evolve into prosumers, focusing on the transition from personal practices to collective influence through social media. Design/methodology/approach This study used a multimethod qualitative approach, combining netnography and in-depth interviews, to analyze prosumer profiles on Instagram and YouTube. This allowed for real-time observation of prosumption activities, interactions and the development of practices within digital communities. Findings The findings reveal a transformation trajectory comprising three interconnected spheres of prosumption: individual prosumption, collective prosumption and professional prosumption. Each sphere is associated with specific triggers, skill development, challenges and accomplishments. Based on these dimensions, the authors introduce the Prosumer Trajectory Framework. Research limitations/implications This study contributes to the prosumption literature by mapping distinct developmental pathways and highlighting the diverse motivations and processes that shape prosumption within digital environments. Practical implications The insights offer practical value to companies and managers seeking to engage with prosumers. By understanding the different stages of their trajectories, organizations can design targeted actions and foster strategic partnerships. Social implications This study highlights the growing cultural influence of prosumers, demonstrating how social media facilitates community building and enhances consumer agency in shaping collective influence. Originality/value By delineating the spheres of the prosumer trajectory, this research advances the conceptualization of prosumption as a transformative process. It offers a unique perspective on how individual, offline practices evolve into digital, public and potentially professional forms of engagement within the contemporary marketplace.

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Purpose This study aims to investigate how political and institutional embeddedness (PIE) operates as a strategic mechanism shaping multinational enterprises’ (MNEs) location decisions in non-core regions in emerging economies. Design/methodology/approach Drawing on location theory and economic sociology, the analysis is based on semi-structured interviews with representatives from BMW, a German automaker that set up a production unit in Santa Catarina, a non-core Brazilian state. Findings Results reveal that MNEs develop PIE prior to foreign direct investment (FDI) as a strategic choice, influencing their location decisions. PIE moderates the effect of conventional determinants in non-core regions and mitigates the impact of host-country complexity, contributing to the creation and/or exploitation of ownership, location and internalization advantages. Research limitations/implications The findings indicate that MNEs strategically build PIE pre-FDI, which accelerates MNEs’ learning about non-core locations and deepens the construction of social and political networks. Analysing the relative importance of firm characteristics and contextual factors is still necessary. The authors recomend investigating how resources generated from PIE impact perceived distance at the national level. Practical implications The results suggest that MNEs can strategically manage their pre-FDI choices through PIE, enabling diversification of subnational location strategies. The study also highlights elements that can inform public policies aimed at attracting and retaining FDI at the subnational level. Originality/value The authors advance beyond conventional economic and institutional factors and analyze embeddedness pre-FDI. They integrate conventional determinants and PIE, examining their synergy and capturing their effects in isolation and interaction.

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Purpose The absence of environmental transformational leadership in many organizations may contribute to environmental destabilization. Therefore, the purpose of this study is to examine the impact mechanism of environmental transformational leadership on employees’ pro-environmental behaviors. Design/methodology/approach Data were randomly collected from employees via self-administered questionnaires, and 216 valid responses were analyzed using the PROCESS Macro Model 4. The measurement instruments used in this study were adapted from previous studies that had been validated via exploratory factor analysis in the context. Findings The study found that the inspirational aspect of environmental transformational leadership is beneficial for employees’ autonomous environmental motivation and pro-environmental behaviors. These findings confirm that transformational leadership is a multidimensional, reflective-formative construct. Research limitations/implications The present study contributes to the environmental sustainability literature by empirically examining the proximate effect of ETL on AEM in nonprofit, environmentally sustainable organizations. By empirically testing the hypothesized relationship, this study advances the literature, which has so far lacked empirical validation in this context. Furthermore, the study integrates two distinct theoretical perspectives, transformational leadership and self-determination, into a unified framework, confirming its applicability in the field of environmental sustainability. The findings also confirm that ETL is a higher-order reflective–formative construct, thus addressing a gap in the conceptualization of leadership constructs in sustainability studies. Practical implications As the inspirational aspect of environmental transformational leadership is positively linked to employees’ pro-environmental behaviors, organizations should prioritize identifying and hiring leaders who demonstrate strong inspirational environmental motivation. To become more ecosystem-friendly, human resource departments in environmentally sustainable organizations should develop selection criteria that emphasize this attribute when evaluating managerial candidates. Social implications By encouraging environmental transformational leadership, organizations can foster a culture of sustainability that extends beyond the workplace, thereby contributing to broader societal awareness and advancing the United Nations Sustainable Development Goals related to environmental protection. Originality/value There has been a lack of consensus among scholars on whether, and if so, how environmental transformational leadership is effective in triggering environmental sustainability in organizations.

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Purpose The purpose of this paper is to identify and assess the influence of behavioral change agents for adopting green innovation to enhance sustainability performance. Design/methodology/approach This paper employed a quantitative approach by disseminating a structured questionnaire to 141 supply chain professionals of manufacturing firms who are familiar with green innovation, operating in the metropolitan city of Pakistan, i.e. Karachi. Later, exploratory and confirmatory factor analyses were performed to evaluate the reliability and validity of the model. Lastly, SmartPLS was used to test the proposed hypotheses in the study. Findings The findings revealed that green transformational leadership, acceptance of change and work culture showed a significant impact on green innovation leading toward sustainable performance. Research limitations/implications The authors suggest that green innovation is a prime factor for enhancing a firm’s sustainability in the market and supply chain, requiring continuous improvement efforts from supply chain professionals. Practical implications The findings can help decision-makers to increase the efficiency and production of the organization and provide support to green policy-makers. It also empowers employees and fosters green awareness, ultimately generating benefits that serve the company’s best interests. Social implications The study supports a shift toward sustainable behavior, encouraging organizations to contribute positively to society and the environment. Empowering change agents can catalyze pro-environmental attitudes and behaviors, ultimately encouraging organizations to adopt eco-friendly innovations for broader societal and environmental well-being. Originality/value This paper is an initial effort to assess organizational behavioral change on green innovation for enhancing the sustainable performance of manufacturing firms in Pakistan.

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Purpose This study aims to identify factors influencing the prioritization of rival public values, with Brazilian state governments as locus. The paper also proposes a conceptual model comprising the intervening factors and their relationships with the public and the value positions. Design/methodology/approach This exploratory study used a qualitative cross-sectional design. A focus group was used as the method of data collection, with 27 civil servants from 13 Brazilian states, representing all geographic regions, serving as respondents. Data analysis was based on the rhetoric of public managers’ discourses in counterpoint to their practical actions regarding decisions on prioritizing public value positions. Findings The government side was analyzed; however, the quantitative validation of the theoretical model remains to be conducted in further research. Research limitations/implications The data analysis revealed that political issues are the primary variable influencing digital government decisions. Therefore, political leadership is the decisive factor driving the choices regarding digital initiatives. It may also indicate why the values adopted differ from those defended by political agents and explain the imperative of efficiency, as political decision-making can interfere with internal factors. The media was the only external factor identified. Practical implications This research contributes to understanding the factors and variables that influence decision-making regarding digital government projects. Social implications The study can help in understanding public value positions, promoting transparency, inclusion and improving governance. Government social media efforts are key in cultivating digital participation and engagement. This digital transformation in government is vital, aligning with the growing expectations of digital experiences, thus empowering citizens and enhancing the relationship between government and citizens. Originality/value The proposed conceptual model makes a relevant theoretical contribution by illustrating the dynamics of prioritizing rival public value positions.

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Purpose The purpose of this study is to apply the Elaboration Likelihood Model (ELM) to examine persuasive information processing in live streaming commerce (LSC). This study examines the impact of streamer credibility, viewer mindfulness and control variables (age, gender, viewing frequency and subscription status) on purchase and response intentions in the Indonesian context. Design/methodology/approach This study uses Partial Least Squares Structural Equation Modeling to analyze responses from 372 individuals aged 18–45 years who had watched or purchased through LSC within the past month. The model incorporates streamer expertise and sociodemographic control variables. Findings The peripheral route, driven by streamer credibility (trustworthiness, attractiveness and expertise) and co-viewer engagement, strongly influences the persuasiveness of information more than the central route. Viewers are more influenced by social cues than by the quality of product information. Mindfulness does not significantly moderate the relationship between perceived persuasiveness and either purchase or response intention. However, younger, active subscribers demonstrate a higher likelihood of engagement. Research limitations/implications These findings contribute to practical enhancements in streamer branding and digital trust-building strategies, enabling LSC platforms to optimize content and strengthen collaborations with streamers and key opinion leaders, thereby increasing purchase and response intentions. Practical implications The findings of this study offer actionable recommendations for brands and streamers, including strategies to enhance streamer appeal and create persuasive content that resonates with target audiences. Social implications This study fosters stronger, trust-based interactions between streamers and their audiences, promoting inclusive digital economic growth across diverse demographic segments in Indonesia. Originality/value By integrating ELM with streamer credibility, mindfulness and sociodemographic factors, this study provides novel insights into viewer behavior in Indonesia’s emerging LSC landscape.