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This study responds to the calls from the literature on identifying interactions among the sustainable supply chain management (SSCM) drivers, which influence focal firms’ SSCM decisions. It also determines how the effect of SSCM drivers differs across the upstream and downstream supply chains (SCs) entities of fast-moving consumer goods (FMCGs) companies.

We employ a multi-method design encompassing three studies: study 1 (multiple-case study), study 2 (quantitative survey), and study 3 (multiple-criteria decision-making or MCDM modeling).

The results show that the external drivers such as customer pressure, competition, and supplier pressure and internal drivers such as top management commitment interact to influence the adoption of SSCM practices, and this interaction is diverse across upstream and downstream SC entities of the FMCG sector. The study provides empirical evidence of relationships among the SSCM drivers, which influence SSCM decisions.

Understanding these interactions will help managers derive strategies to manage the overall SSCM ecosystem and recognize the multiplier effects of upstream to downstream and vice versa.

This research study evaluates an innovative community-oriented policing program, designed to enhance officer accountability, thereby informing the scholarly community and agency decision-makers.

A multi-method approach was employed, leveraging pre- and post-implementation data collection phases. Data were collected via surveys of officers and focus groups with officers, as well as interviews with agency decision-makers.

While officers were originally resistant to the STOP Card program, postimplementation perceptions, evinced through both survey and focus group data, were supportive. Agency administrators were consistently supportive of the initiative.

This is a novel program, implemented by a university police agency set in an urban area. The utility of this and similar efforts may influence agency initiatives.

This paper aims to explore how critical digital and data literacies are facilitated by testing different methods in the classroom, with the ambition to find a pedagogical framework for prompting sustained critical literacies.

This contribution draws on a 10-year set of critical pedagogy experiments conducted in Denmark, USA and Italy, and engaging more than 1,500 young adults. Multi-method pedagogical design trains students to conduct self-oriented guided autoethnography, situational analysis, allegorical mapping, and critical infrastructure analysis.

The techniques of guided autoethnography for facilitating sustained data literacy rely on inviting multiple iterations of self-analysis through sequential prompts, whereby students move through stages of observation, critical thinking, critical theory-informed critique around the lived experience of hegemonic data and artificial intelligence (AI) infrastructures.

Critical digital/data literacy researchers should continue to test models for building sustained critique that not only facilitate changes in behavior over time but also facilitate citizen social science, whereby participants use these autoethnographic techniques with friends and families to build locally relevant critique of the hegemonic power of data/AI infrastructures.

The proposed literacy model adopts a critical theory stance and shows the value of using multiple modes of intervention at micro and macro levels to prompt self-analysis and meta-level reflexivity for learners. This framework places critical theory at the center of the pedagogy to spark more radical stances, which is contended to be an essential step in moving students from attitudinal change to behavioral change.

Online customer communities have become a strategic tool for business-to-business (B2B) firms to drive collaboration among customers around the company’s products and services. This paper aims to argue that the three social capital dimensions, that is, structural, relational and cognitive, themselves driven by brand community trust, can affect brand loyalty for the organization.

The authors use a survey to collect data and structural equation modeling to test the conceptual framework by collecting data from 214 participants across three online B2B communities operated by three technology firms in India.

Brand community trust is found to have a strong association with social network ties, identification and norm of reciprocity and shared vision. These three have concomitant effects on the quality of customer-to-customer (C2C) interactions. Such communication generates functional, emotional and social benefits, which, in turn, curate brand loyalty.

The authors’ findings guide community managers in leveraging such conversations in shaping customer loyalty for the corporate brand.

This work provides an integrated framework to explain the important role of C2C interactions in B2B online brand communities.

In the period of organizational change and transformation, the attitude of employees towards change has become a key factor in the success of organizational change. Based on the uncertainty management theory (UMT), the paper considers authentic leadership as an important antecedent of employee resistance to change and explores the mediating role of perceived uncertainty and the moderating role of uncertainty avoidance between authentic leadership and employee resistance to change.

The paper conducted a questionnaire survey study and a scenario experimental study. In study 1, the authors collected two stages of data from 256 employees in Central China, one month apart. In study 2, the authors designed a scenario experiment and invited 130 Chinese adults to participate.

The authors find that authentic leadership can effectively reduce employee resistance to change by reducing employee perceived uncertainty. In addition, for individuals with a higher (vs lower) degree of uncertainty avoidance, the direct impact of authentic leadership on perceived uncertainty and the indirect impact of authentic leadership on resistance to change through perceived uncertainty are both stronger (vs lower).

The presented results reveal the mechanism between authentic leadership and employee resistance to change from cognitive perspective and depict an important step toward understanding how authentic leadership and employee uncertainty avoidance interact and how they interact with employee resistance to change.

Virtual spaces, commonly referred to as the Metaverse, are predicted to disrupt consumption patterns in tourism, hospitality and events (THE) by shifting some user experiences to a virtual world. Scholarly investigations are necessitated to aid in an understanding of virtual spaces and the implications of their consumption for THE industries. This viewpoint outlines a provisional research agenda on virtual spaces.

To inform its arguments, this viewpoint draws upon academic and grey literature surrounding the emerging topic of the Metaverse in THE industries.

The research agenda should consider four perspectives representing different actors of THE value chain, i.e. developers/suppliers, THE business professionals, customers and policymakers. The research agenda should also incorporate the wider spillover effects of consumption of virtual spaces which may stretch well beyond THE industries.

This viewpoint outlines some research directions which may aid different actors of THE value chain alongside academics in better understanding the emerging phenomenon of virtual spaces and comprehend the opportunities and challenges associated with their uptake by THE industries.

The success of SMEs' financial and market performance (MAP) depends on the firms' level of blockchain technology adoption (BCA) and identifying the crucial antecedents that influence SMEs' adoption. Therefore, this research attempts to develop an integrated model to understand and predict the determinants of BCA and its effect on SMEs' performance. The purpose of this paper is to address this issue.

The theoretical foundations are the technology–organization –environment (TOE) framework and the resource-based view (RBV) perspective. The authors distributed a survey to SMEs in South Africa and received 311 responses. The covariance-based structural equation modeling (CB-SEM) followed by the artificial neural network (ANN) technique was used for the data analysis.

The SEM results showed that SMEs' relative advantage, compatibility, top management support (TMS), organizational readiness (ORD), competitive pressures (COP), external support, regulations and legislation significantly influence SMEs' BCA. However, complexity negatively impacts SMEs' BCA. The analysis results also revealed that SMEs' BCA significantly influences the financial performance of the firms, followed by MAP. Furthermore, model determinants were input to an ANN modeling. The ANN results showed that TMS is the most critical predictor of SMEs' BCA, followed by ORD, COP, external support, and regulations and legislation.

The results provide valuable information for SMEs when maneuvering their adoption strategies in the scope of blockchain technology. Additionally, from the perspective of an emerging market, the study has successfully contributed the TOE framework and the RBV.

This study is the first work to explore the determinants of BCA in the context of SMEs from a developing country. This paper is also one pioneer in attempts to develop a causal and predictive statistical model for predicting the determinants of BCA in SMEs' performance.

Despite the immense popularity of WhatsApp, there needs to be more reliable and valid scales for identifying and measuring users' motivation behind frequent WhatsApp status updates. This study explores the underlying motivations of users in updating their WhatsApp statuses and develops a scale to measure them.

Following a mixed-method research design, data were obtained from WhatsApp users in India. The current research furnishes results from five studies, involving both qualitative and quantitative approaches.

The results uncover seven unique motivations of users for keeping WhatsApp status, namely: social good, attention seeking, social relations, expressing views, life updates, inspiration and entertainment. Additionally, the empirical findings demonstrate the effects of the above dimensions on the positive and negative emotions of users.

This research is a pioneering effort in developing and validating a scale on WhatsApp status motivation construct. Key managerial and scholarly implications of the findings arising from this research are also discussed.

This paper provides a systematization of the existing body of literature on both employee participation goals and the intervention formats in the context of organizational change. Furthermore, degrees of employee involvement that the intervention formats address are identified and related to the goals of employee participation. On this basis, determinants of employee involvement and participation in the context of digital transformation are unveiled.

Based on a systematic literature review the authors structure and relate employee participation goals and formats. Through a workshop with expert practitioners, the authors transfer and enhance these theoretical findings in the context of digital transformation. Experts rated the three most important goals and identified accompanying success factors, barriers and effects.

The results show that it is not necessarily the degree of involvement but a context-specific selection of measures, the quality of their implementation as well as the actual uptake of suggestions and activities developed by employees that contribute to employees accepting and participating in goal-directed transformations. Moreover, employees must have sufficient information and time for their participation in transformation processes.

This paper is based on a transformative approach, combining literature analysis to identify formats and goals of employee participation with experiential knowledge of digital transformation practitioners. In addition to relating intervention formats to goals pursued in organizational change processes, empirical and experiential perspectives are used to identify three very relevant goals and respective determinants in digital transformation processes.

Moral consideration is significantly important as social responsibility of economic actions. This article aims to analyze the moral embeddedness of labor market using the typology of moral behavior in market exchange by Beckert (2005).

This study contributes to methodological novelty through a digital research design using Gephi and NVIVO software. Textual Network Analysis (TNA) is used to analyze the moral embeddedness of labor market transaction of Chinese migrant workers.

Overall, the results show that the presence of Chinese migrant workers in Indonesia is a form of Trojan altruism and harmful to local labor market. This study also provides a theoretical debate that morals are always embedded in markets.

The data and focus of this study are the Indonesian side, particularly the local labor market. In addition, access to interviews with the Chinese government and companies is very challenging and cannot be done because they cannot carelessly provide information to journalists and researchers.

In contrast to previous studies on Chinese migrant workers that tend to use the economic perspective, this study applies the moral perspective that is more sociological and discusses social responsibility of market actions.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0737