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Natural calamities like earthquakes, floods and epidemics/pandemics like COVID-19 significantly disrupt almost all the supply networks, ranging from medicines to numerous daily/emergency use items. Supply Chain Resilience is one such option to overcome the impact of the disruption, which is achieved by developing supply chain factors with Artificial Intelligence (AI) and Big Data Analytics (BDA).

This research examines how organizations using AI and BDA can bring resilience to supply chains. To achieve the objective, the authors developed the methodology to gather useful information from the literature studied and developed the Total Interpretive Structural Modeling (TISM) by consulting 44 supply chain professionals. The authors developed a quantitative questionnaire to collect 229 responses and further test the model. With the analysis, a conceptual and comprehensive framework is developed.

A major finding, this research advocates that supply chain resilience is contingent upon utilizing supply chain analytics. An empirical study provides further evidence that the utilization of supply chain analytics has a positive and favorable effect on the flexibility of demand forecasting to inventory management, resulting in increased efficiency.

Few studies demonstrate the impact of advanced technology in building resilient supply chains by enhancing their factors. To the best of the authors' knowledge, no earlier researcher has attempted to infuse AI and BDA into supply chain factors to make them resilient.

This study explores the phenomenon of compassionate leadership, a promising concept in management literature. Despite significant contributions towards the understanding of its antecedents and consequences, the specific role of compassion concerning the leader behavior under extreme pressure remains unexplored.

Drawing empirically on the case of three banks under three different logics, the authors trace how heads of banking branches, namely, middle managers, deal with the paradoxical phenomenon of integrating their human nature with the coetaneous need to achieve aggressive objectives. The authors analyzed interviews using the interpretive research method (Hatch and Yanow, 2003).

The authors identified that the logic of savings banks and credit cooperatives, together with specific human elements, created a healthier environment to develop compassionate behaviors compared to commercial banks. The authors found coherence when linking the institutional message of putting the spotlight on a personalized treatment of customers, and the middle manager compassionate actions towards customers and subordinates.

Suggestions for future theorizing and research are advanced, along with constructive practical implications to rehumanize the dark side of banking for both employees and customers.

The findings provided in this paper are original because they provide further evidence of linking business logics with compassionate leadership of middle managers and its impact on employees and customers.

The study aims to develop a hierarchical model for innovative work behaviour (IWB) that can capture the complex associations among the factors contributing to IWB within the information technology (IT) sector. To accomplish this, the authors rely on an abductive approach using a graph theoretic model, often called interpretive structural modelling (ISM).

After conducting an in-depth literature review and using the Delphi method, the authors identified 12 factors (11 enablers and IWB as an outcome). The authors collected data through the Delphi approach by sending the questionnaire to 11 experts from academia and the IT sector who have extensive experience and knowledge relevant to the study. The authors then used the ISM method to analyse the relationships among these factors and understand their driving forces.

Based on the ISM model and the Matrice d'Impacts Croisés Multiplication Appliquée à un Classement analysis, the authors have identified that inclusive leadership, proactive personality and knowledge creation ability are the variables with strong driving power but weak dependence. Conversely, IWB has strong dependence but weak driving power. These findings suggest that to foster IWB, the organisation should prioritise inclusive leadership, proactive personality and knowledge-creation ability to succeed in challenging times. The study’s findings contribute to the social exchange theory, which explains IWB in a dynamic setting. Additionally, the study helps address the significant concerns that most IT companies face during times of crisis.

The study provides valuable guidance for managers and policymakers who are grappling with the challenges of improving IWB in the IT sector. This study is particularly relevant as the industry is currently navigating an economic recession and facing intense competition from other tech companies launching new products and services.

This research holds great significance for top executives, line managers and policymakers in the IT industry. It sheds light on the relevance and importance of various factors facilitating millennials' IWB.

This paper aims to understand how virtual influencers (VIs) can promote interethnic tolerance, online, among youth as a social good.

This paper conducted qualitative research using interpretive analysis with RTA (Reflexive Thematic Analysis) on data collected through focus groups.

This paper revealed that the quality of the VI’s content is a leading factor influencing VI's ability to promote interethnic tolerance, but creating content that is constantly authentic, appealing and inclusive to diverse ethnic groups in a particular context is challenging.

The study has some limitations related to the specific context on which it is focused and therefore transferring the findings to different contextual conditions requires caution, and also can be extended with positivist validation.

Findings from our study can drive future projects where real VI artifacts will play the role of a mediator in building strong relational trust among youth belonging to different ethnic groups. The findings indicate that VIs can be effectively used to foster interethnic tolerance if involve diverse team members who understand the ethnic culture deeply and social media experts, to create high-quality content to overcome some limitations.

VIs can be used as social interventions to promote interethnic tolerance and to reduce prejudices and anxiety in online youth communication.

To the best of the authors’ knowledge, no known studies investigated the potential of VIs for promoting interethnic tolerance among ethnically diverse youth groups. Hence, this study paves the way for further refinement on using cutting-edge technology for social good, since it is highly challenging, often resulting in wasted money.

The criticality of late deliveries in transportation lies in the threat of considerable multi-level supply chain costs. This study aims to reveal the dynamic capabilities playing a facilitating role in preventing delay, thus providing timely delivery, as well as developing an understanding of how and when those capabilities are activated within the supply chain network.

An exploratory study was conducted involving 16 semi-structured expert interviews with the representatives of logistics service providers and shippers. Following an interpretive phenomenology framework, the prevention phenomenon was explained.

Findings revealed two preventive capability categories in delay prevention: (1) proactive capabilities, referring to the enabling actions planned before departure, and (2) reactive capabilities, referring to actions planned after departure. Findings pinpoint that, in addition to the proactive capabilities, reactive capabilities enabled by innovative problem-solving actions are crucial for adapting to a dynamically changing environment in prevention. Moreover, this study shows that prevention capabilities are characterized by tangible and intangible resources and integration of resources with external links which constitute a delay prevention network within a wider service ecosystem.

This study stands out with its specific focus on delay prevention capabilities and enabling actions from the perspectives of logistics service providers and shippers. The premises of the resource-based view are combined with dynamic capabilities theory, leading to a proposed time-based taxonomy of proactive and reactive capabilities in supply chains, aimed at creating value and strengthening resilience.

This study aims to investigate accounting practices within a non-Western (Indigenous) context and provide insights into alternative accounting approaches and perspectives.

This study adopts an interpretive research approach to gain an in-depth insight into the functioning of accounting in Solomon Islands’ unique cultural and social-political context. In-depth interviews were conducted to gain insights into the perceptions and meanings held by participants concerning Western accounting practices and their limitations.

The findings provide unique insights into different interpretations of accounting and accountability through two distinct cultural lenses – Western and non-Western. The complementary and rival explanations on what accounting and accountability are doing and what accounting and accountability should be doing will help close the gap in knowledge and contribute to shaping a better world for Indigenous people.

Implications for practice involve fostering collaborative efforts among individuals, communities, leaders and institutions to harness cultural strengths through accounting. Additionally, continuous capacity building and education are essential to develop accounting skills, enhance financial literacy, promote professional expertise and build a pool of skilled accountants with local knowledge to support Indigenous communities.

This study is original and provides novel insights supporting the need for accounting to recognise the importance of Indigenous perspectives, adapt to cultural sensitivity and integrate cultural norms and values into accounting practices to make an impact and achieve greater social and moral accountability.

This paper aims to understand the impact of big data on the UAE audit profession. Mainly exploring whether the emergence of big data threatens the reliability of audit standards and whether audit standards need to be improved. Also, exploring the impact of big data on the collection of audit evidence.

Semistructured interviews were used to collect data, mainly targeting the audit-related workers of the Big Four and Non-Big Four audit firms in the UAE. Thematic analysis is adopted to analyze the original data, and the main factors affecting the audit standard and audit evidence collection.

This study found that the reliability of audit standards and the way audit evidence is collected can be affected by big data. It concludes that audit standards need to be improved and strengthened to include detailed essential elements associated with big data to ensure audit reliability, legitimacy and regularity. The results also identify the impact of big data on audit evidence in terms of adequacy, appropriateness, authenticity, consistency and reliability, as well as the impact on the validity and completeness of evidence collection. The research highlights the importance of big data skills and knowledge education, the contribution and challenges of big data to auditing, and the use of big data in future auditing.

This research provides specific empirical evidence from both Big Four and Non-Big Four audit firms in the UAE, which is lacking in the literature on the use of big data technology by auditors to assist audit works in UAE. It may serve as a reference for other researchers or those interested in relevant research.

Social commerce (s-commerce) has gained widespread popularity as a social platform where customers engage in resource-sharing activities such as information exchange, advice-seeking and expressing their opinions on mutual interests. However, existing studies have not fully comprehended the drivers of electronic customer-to-customer interaction (eCCI) and how such behavior contributes to the customer “stick” on s-commerce sites. This study develops the Motivation–Opportunity–Ability (MOA) theory and investigates the impact of MOA factors on eCCI, which in turn affects customer stickiness.

A survey was used to acquire data from 455 valid respondents, and the research employed a combination of fuzzy-set qualitative comparative analysis (fsQCA) and structural equation modeling.

The results revealed associations between perceived self-efficacy, intrinsic motivation, tie strength with other customers, eCCI and customer stickiness.

Considering the limited availability of complete eCCI frameworks in existing scholarly works, the authors present valuable perspectives on the role of consumer characteristics as both antecedents and consequences of eCCI. Additionally, this study proposes a research agenda for the field of eCCI on s-commerce sites.

Recent calls in international management (IM) research ask scholars to conduct more context-sensitive research, however; little attention has been paid to the methodological particularities that inform such context sensitivity. This paper aims to addresses this shortcoming by exploring how emic concepts implicate IM research processes during qualitative field studies.

We carried out ethnographic fieldwork in Brazilian subsidiaries of three German multinational enterprises. We relied on the researchers’ experiences and data from a larger research project including 63 semi-structured interviews, 7 focus groups, documents and field notes. Adopting a culturally sensitive and self-reflexive lens, we reflect on the researchers’ experiences in the Brazilian sociocultural context from an interpretive paradigm.

Our findings reveal how seven identified emic concepts affect four prototypical phases of the research process: securing access, collecting data, analyzing data and presenting findings. We discuss how these seven emic concepts influenced the research process and impacted research outcomes, as experienced by the researchers.

Findings are limited by our self-reflexive capabilities as foreign researchers, the limited explanatory power of emic categories, our paradigmatic positioning and the research context.

We contribute to research practice by providing eight suggestions for conducting international fieldwork and proposing avenues for future research.

This research contributes to the epistemological and methodological debate on context-sensitive research by arguing that intercultural sensitivity needs to be managed as an integral dimension for any form of international fieldwork. Findings contribute to interpretive approaches showing how emic concepts affect research practices, with implications for critical management perspectives.

The authors study how cloud adoption decision making unfolds in organizations and present the dynamic process leading to a decision to adopt or reject cloud computing. The authors thus complement earlier literature on factors that influence cloud adoption.

The authors adopt an interpretive epistemology to understand the process of cloud adoption decision making. Following an empirical investigation drawing on interviews with senior managers who led the cloud adoption decision making in organizations from across Europe. The authors outline a framework that shows how cloud adoptions follow multiple cycles in three broad phases.

The study findings demonstrate that cloud adoption decision making is a recursive process of learning about cloud through three broad phases: building perception about cloud possibilities, contextualizing cloud possibilities in terms of current computing resources and exposing the cloud proposition to others involved in making the decision. Building on these findings, the authors construct a framework of this process which can inform practitioners in making decisions on cloud adoption.

This work contributes to authors understanding of how cloud adoption decisions unfold and provides a framework for cloud adoption decisions that has theoretical and practical value. The study further demonstrates the role of the decision-leader, typically the CIO, in this process and identifies how other internal and external stakeholders are involved. It sheds light on the relevance of the phases of the cloud adoption decision-making process to different cloud adoption factors identified in the extant literature.