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This paper aims to specifically analyze the interrelationships of employee political skill and personal reputation with both workplace and non-workplace outcomes. The study further focuses on performance and career development as workplace outcomes and entrepreneurial intentions as a non-workplace outcome, while analyzing employee political skill and personal reputation.

The study uses a survey method, where multi-source data were collected in a time-lagged fashion from the employees working in the textile sector in an under-researched emerging economy setting of Pakistan.

The findings establish that political skill is a significant predictor of employee job performance, career development and entrepreneurial intentions. Moreover, the mediating role of personal reputation was confirmed for the proposed relationships. Hence, the findings highlight the contributory role of personal reputation in the enhancement of workplace and non-workplace outcomes, such as entrepreneurial intentions linked to political skill.

Despite some limitations, this paper offers theoretical implications both for political skill and indirect reciprocity literature. A vital theoretical contribution is extended by studying the mediating role of personal reputation in the main relationships analyzed in this paper. The scope of indirect reciprocity is expanded by identifying personal reputation as a vital mechanism for indirect reciprocity.

Organizations should focus on developing political skill amongst their employees, as these skills are salient for amassing a favorable reputation, that eventually leads to performance, career growth and development of entrepreneurial intentions. Organizations should put in place careful selection and coaching and mentoring programs that equip employees with such skills that eventually lead toward the alignment of employees’ personal goals and organizational goals. Employees, then, could focus on priming both organizational and personal goals.

This paper is one of the pioneering studies that specifically link employee political skill with job performance, career development and entrepreneurial intentions, especially in the relatively volatile and under-researched context of Pakistan. Another novelty of this research is the investigation of personal reputation as a psychological mechanism underlying the primary relationships proposed in this research.

This study aims to empirically investigate how knowledge paradox affects collaboration performance. Knowledge paradox, which arises from the simultaneous need for knowledge sharing and protection, is common in interorganizational collaboration. Using the ambidexterity perspective, this paper aims to reexamine the effect of the knowledge paradox on collaborative performance to explore the moderating roles of structural and contextual ambidexterity.

This study used a sample of 153 firms involved in vertical and horizontal collaboration, collected via questionnaires. Hypotheses were tested using hierarchical regression analysis.

This study demonstrates that the stronger the knowledge paradox is, the higher the potential for value creation. Thus, knowledge paradox has a positive impact on collaborative performance. The functions of structural ambidexterity and contextual ambidexterity strengthen this positive relationship.

This paper not only expands the theoretical application of the knowledge paradox and ambidexterity theory in the context of interorganizational relationships but also provides significant managerial implications. By comprehending the dynamics of the knowledge paradox and the role of ambidexterity, managers can make well-informed decisions to enhance their collaborative performance.

The objective of this study is to grasp the strategic decisions made by Haidilao during the COVID-19 pandemic and the effect on its business performance. It seeks to evaluate the company’s adaptability and resilience, understand the significance of effective regional management and draw lessons for businesses operating in crisis situations.

This case study provides an in-depth analysis of the strategic decisions made by Haidilao in the face of rapid expansion and COVID-19’s impact. It scrutinizes Haidilao’s shift from expansion to contraction, the execution of the “Woodpecker Project,” and the reinstatement of a regional management system.

This case study is suitable for MBA courses.

Teaching notes are available for educators only.

CSS11: Strategy.

This study aims to understand the patterns of content-sharing behaviour on major social media platforms by young adult users with reference to how these sharing patterns are influenced by two main sociocultural factors in their lives, religiosity and social conformity.

Online surveys including both the ATSCI test for social conformity as well as the Hoge test for religiosity were filled out by 590 participants. In-depth interviews with six participants representative of the same population were conducted to deepen analysis of key variables explored in the surveys. The design of the interviews was semi-structured, whereby the focus was to achieve a general overview of participants' intentions and habits regarding sharing information via social media.

The findings show a significant positive impact of religiosity and social conformity on users' sharing intention which, in turn, affects their inclination towards verifying the content they share.

The authors' findings emphasise how users bear the onus of correcting the online information space. It paves the way for future research by recognising the value of independent corroboration amongst users.

This study lends key support to the growing body of research on social media use in societies in which shared religious and cultural values tend to clearly impact everyday social interaction.

DeLone and McLean (D&M) has been amongst the most widely used models to assess the success elements of information systems (IS) since 1992. A decade later in 2003, D&M proposed a revised design that included several components which have been left out of original proposed model. This study aims to rely on the review of a number of papers casing the era 2011–2022 that satisfies a specific set of requirements to identify the research gaps in this area and to prepare a future research agenda.

This study is a systematic review: a technique that identifies and evaluates pertinent research. This gathers and analyses data from selected studies with objective to catalogue all empirical research studies, which responds to a certain study topic or hypothesis to meets predetermined inclusion criteria. Data collection method was divided into four stages, and selection details are determined through flow chart.

This research discovered D&M 2003 model use in many contexts, countries and cultures to better comprehend the topic and addresses its gaps, particularly with regard to public sector and its particularities. Publications have frequently emphasized the significance of this idea while studying public sector information systems by using associated variables-related items. Findings also include a summary of key components and dimensions used in reviewed studies in relation to each of the seven variables, and associated particularities in government sector over the world.

To the best of the authors’ knowledge, this is the first ever effort in this developing country in discipline of Information Management to execute such kind of study to review D&M ISS model in detail at this stage to evaluate nonacademic public sector information systems around the world.

The preservation of digital records, particularly their authenticity, integrity and accessibility over time, is a critical challenge faced by institutions worldwide. In South Africa, these challenges are further compounded by inadequate infrastructure, legal complexities, ad limited resources, which threaten the long-term sustainability of digital repositories. This study aims to investigate the compliance of selected digital repositories in South Africa with the standards of a Trusted Digital Repository (TDR) and the Open Archival Information System (OAIS) model.

A qualitative research approach was used, assessing five purposefully selected repositories based on their significance in preserving South Africa’s digital cultural heritage. Data collection involved semi-structured interviews with key personnel, content analysis of relevant documents (such as policies and procedures) and direct observations of repository environments to evaluate operational frameworks and technological infrastructure. A review of relevant literature informed the development of assessment criteria, while data from interviews, content analysis and observations were triangulated to ensure reliability.

The findings reveal significant shortcomings in compliance with OAIS and TDR standards, particularly in areas such as policy implementation, staffing, financial sustainability and technological infrastructure. None of the repositories fully met the OAIS responsibilities, and all lacked systems to ensure the independent understandability of digital records by designated communities.

The study highlights the need for improved staff training, stronger preservation policies and increased financial and technological investment to enhance compliance with international standards. Recommendations emphasize capacity building, strategic planning and collaborative efforts to sustainably manage South Africa’s digital heritage.

The study highlights the importance of preserving South Africa’s digital cultural heritage, which holds value for both present and future generations. Ensuring the authenticity, accessibility, and long-term sustainability of digital records is crucial for fostering a sense of national identity, supporting historical research and promoting inclusivity in cultural representation. By improving digital preservation practices, these repositories can serve as reliable resources for education, cultural engagement and community empowerment, ultimately strengthening social cohesion and collective memory in South Africa.

This study provides a comprehensive evaluation of digital repository compliance within South Africa, a context marked by unique infrastructural and resource constraints. The recommendations offer a foundation for addressing gaps in repository management and contribute to the broader discourse on sustainable digital preservation.

The determination of human behaviours due to individual characteristics (personality traits) or situational factors has long remained inconclusive. Although the literature stream on personality as the determinants of behaviour is voluminous, the interest of researchers is also growing towards organisational situational cues as the determinant of behaviours. According to situation strength theory (SST), behaviours are determined by situations in strong situations and by personality in weak situations. This study aims to propose a theoretical model of intrapreneurial behaviour (IB) emanation from empowering leadership (EL) by extending the epistemology of SST under the influence of organisational strong situations of job autonomy (JA) and perceived organisational support (POS).

Using SST, the present study argues that strong situations play a key role in determining human behaviours, and the same can be viewed deductively to assess IB.

The study attempts to propose whether EL is capable of predicting IB under the strong situation effect of JA and POS while dampening the impact of human personality characteristics.

The current study offers a significant departure from current human resource practices in person-situation dialectics, moving away from personality assessments and toward the creation of cues from strong situations for fostering human behaviour. As a result, personality researchers are being encouraged to conduct a reality check on the extensive personality research conducted in occupational settings. Considering organisational situational cues can impact human resource scope in areas such as talent management, selection, promotion and employment.

This study aims to investigate the impact of artificial intelligence (AI) on customer loyalty in the luxury fashion market. It explores how AI-driven tools influence customer trust, satisfaction, commitment and engagement, which in turn affect loyalty. By examining these relationships, the study provides insights into the acceptance and effectiveness of AI technologies in enhancing customer loyalty within the luxury fashion sector.

This study employs structural equation modelling (SEM) to analyse data collected from 406 luxury consumers in Iran. The data was gathered using a targeted sampling procedure, leveraging DigiKala’s e-commerce platform. A comprehensive literature review informed the measurement items, and a seven-point Likert scale was used. The methodology includes confirmatory factor analysis (CFA) to assess the reliability and validity of the constructs, followed by hypothesis testing through SEM.

The study reveals that AI significantly enhances customer loyalty in the luxury fashion market by positively influencing trust, satisfaction, commitment and engagement. Satisfaction and engagement were found to be key mediators between AI and loyalty, while trust had no direct impact on loyalty. The results underscore the importance of AI-driven personalized experiences in fostering stronger customer relationships and loyalty.

This study is one of the first to explore the impact of AI on customer loyalty in the luxury fashion market, using a comprehensive model that includes trust, satisfaction, commitment and engagement as mediators. It extends the stimulus-organism-response (SOR) and technology acceptance model (TAM) frameworks, offering valuable insights for luxury brands on how AI can be leveraged to enhance customer relationships and loyalty.

Balancing economic development with social challenges such as gender inequality has become critical in the current times. Structural barriers persist as obstacles to women's professional opportunities despite evolving gender roles in the modern era. This chapter investigates the ‘motherhood penalty’, which is a concept couched in sociology and describes the disadvantages that working mothers face including lower wages and fewer opportunities of career advancement. This chapter explores economic, physical and mental health impacts of this penalty and sheds light on its detrimental effects on women's well-being and organisational success. Potentially, virtual reality (VR) technology is a solution through which working mothers can alleviate stress and improve well-being. In this chapter, existing literature on the motherhood penalty has been reviewed, and the innovative use of VR in workplace settings has been examined. There is limited research on the nexus between VR, motherhood penalty and working mothers' well-being, and therefore, this chapter seeks to provide a comprehensive overview of this intersection and proposes VR as a tool to mitigate the motherhood penalty, promoting gender equality and enhancing overall workplace well-being. Future research should explore VR's long-term benefits and ensure inclusive applications for diverse demographic groups.

This study aims to develop a measurement instrument for green internal marketing (GIM) in a knowledge-intensive industry (Higher Education).

This study consists of four phases, using a mixed-methods design. Study 1 used a systematic literature review, interviews and focus group discussions (n = 30) to identify five categories and 29 initial items. Study 2 used exploratory factor analysis for scale purification and refinement. The study confirmed a 20-item and five-dimensional scale. The final data collection (n = 576) was conducted for Study 3 using the quantitative approach and establishing the scale’s predictive validity. Study 4 checked the impact of GIM on knowledge worker performance using Smart-PLS 4.

This study found that GIM has five dimensions, which work as a catalyst in the knowledge-intensive sector. The study also found a significant impact of GIM on knowledge worker performance.

The study’s innovative approach involves the development of a multidimensional scale and an examination of its effect on the identification of variables by GIM, specifically on the academic performance of knowledge workers in higher education. The study provides valuable recommendations for professionals and academics on achieving knowledge worker performance within higher education institutions effectively.