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This paper aims to analyze the adoption of social media platforms by tourists in Pakistan. Based on an adaptation of the technology acceptance model (TAM), this study assesses the factors that lead users to adopt these platforms.

A survey was administered to a convenience sample of 399 travelers who use social media in Pakistan. A Confirmatory factor analysis was conducted using AMOS to evaluate convergent and discriminant validity as well as composite reliability. Structural equation modeling was applied to examine the causal relationship among all proposed constructs.

The findings reveal that the perceived usefulness (PU) and perceived ease of use (PEoU) of a social media platform positively impact the behavioral intention of its users. The proposed constructs of compatibility, enjoyment, user expertise and e-trust all demonstrated their crucial roles in the adoption of a social media platform for tourism-related activities by enhancing the platform's PEoU and usefulness.

This research validates the relationship between PEoU and PU of a social media platform in the hospitality industry. Interestingly, this study has expanded TAM by validating the addition of four more constructs, (1) compatibility, (2) enjoyment, (3) e-trust, and (4) expertise, to add worth to this model regarding the understanding of social media usage in this specific industry. The findings are valuable both for managers and policymakers in the tourism sector in Pakistan, as the latter can utilize the results to entice a larger segment of social media users to the tourism industry.

In recent years, technological advancement has played a crucial role in the growth of emerging economies. However, as with any novel technological development, there are often concerns and hesitations surrounding its implementation. This study aims to investigate the factors influencing blockchain adoption and usage. Thereby evaluating its impact on supply chain performance.

This is a deductive research based on the modified form unified theory of acceptance and use of technology, which is a persuasive model that has been used in numerous studies on the acceptance and usage of information technology systems. For this study, valid data was collected from 129 management-level supply chain professionals and policymakers working in diverse manufacturing industries. The collected data was used for testing hypotheses by deploying the structural equation modeling technique.

The findings of this study reveal that facilitating conditions and technology readiness highly are key influencers for organizations to implement this disruptive technology. Moreover, blockchain adoption and usage can significantly enhance supply chain performance.

Blockchain technology is a novel and promising disruptive technology that industries are looking forward to adopting and using. For the policymakers and supply chain strategists working in a developing country, this study offers a comprehensive viewpoint on the swift acceptance and usage of blockchain technology to facilitate supply chain operations.

This qualitative study deals with the career longevity phenomenon in the hospitality sector of Pakistan and aimed at exploring the factors which become the reason for continuing services in this sector for a longer period despite the prevailing perception of the short-term and unsatisfactory hospitality careers.

The study has taken up an interpretive social constructivism approach to carry out the research. The purposive sampling technique is used to solicit expert insights into the dynamics of the hospitality career. A thematic analysis was employed to identify the common themes, extract the meaning from the discussion patterns of the respondents, and outline viewpoints and ideas of the respondents.

The findings of the study are discussed at three levels of career, i.e. entry level, development level, and consolidation level. Long careers in the hospitality sector are a product of dedication and commitment to the job, professionalism, variety, complexity of the job, and healthy relationship with coworkers, supervisors, and guests.

The study links the belief of belonging and socialization attributes to the retention of employees in the hospitality sector jobs. Secondly, the study uses a qualitative approach to provide a diverse perspective of employee–industry loyalty rather than employee–organization loyalty. Thirdly, the study brings forth practical implications for personnel managers in the hospitality sector and proposes that the management should systematically stimulate the socialization of the workers to hold the talent despite providing workers with the opportunity to join another sector. Finally, the study informs about research limitations and directions for future research.

The aim of this paper is to investigate the role of the stakeholder's relationship with supply chain resilience (SCR) and organizational performance (OP) using the lens of stakeholder theory in the manufacturing and service industry. Investigating the supply chain community in Pakistan, this paper explores the relationship between SCR, OP and the stakeholder's relationship (including customers and suppliers).

A partial least square (PLS) – structural equation modeling (SEM) technique using SmartPLS 3.3.3 was used to test the hypotheses. Data were collected through a survey (questionnaire) completed by 202 supply chain representatives. All respondents were supply chain professionals working in different organizations in Pakistan.

The findings of the study revealed that supplier relationship (SR) and customer relationship (CR) have a positive and significant impact on SCR and a positive and significant relationship between SCR and OP. A positive and significant relationship between customer relationship and OP was also noted. The mediating role of SCR is also found positive and significant.

The outcomes of the study will help managers to strengthen SCR through relationship management. The study is also helpful to increase OP through stakeholder management.

This study empirically tests an inclusive model with a PLS-SEM technique where SCR plays a mediating role in the mechanism, which is crucial since the supplier and customer (stakeholder) relationship has been never tested to gauge the OP by positioning SCR as a mediator while using the lens of stakeholder theory.

This study aims to explore sustainable development and business success (BS) through decision-making (DM) in Pakistan’s circular economy.

This is a co-relational study in which the researchers used cross-sectional data collected from the managers of Pakistan’s manufacturing industries. Accordingly, the authors based this study’s findings on 373 valid samples.

This study’s structural equation modeling results reveal that DM has a positive and significant effect on sustainable development, which comprises competitiveness, business performance enhancement, flexibility, customer satisfaction and technology development. Moreover, DM positively and significantly affects BS.

This study’s findings support sustainable development, strengthen the socioeconomic conditions and bring about the industries’ well-being through DM. In addition, these findings demonstrate the need for the circular economy to tackle industrial challenges and simultaneously open up economic and environmental growth opportunities for society.

This study offers the original contribution from a circular economy perspective; there needs to be more empirical evidence among managers of manufacturing industries. Besides, this study provides DM’s role in achieving sustainable development in the presence of BS, which has disappeared in an integrated way, particularly in a circular context.

This study aims to examine the effect of corporate derivatives use on firm value and how the corporate governance index modifies this relationship.

The sample consists of 219 nonfinancial firms on the Pakistan Stock Exchange (PSX) from 2011 to 2019. The study used ordinary least square regression with year and industry dummies for estimations. Multiple estimation models such as fixed/random effect, Fama–MacBeth and two-stage least squares (2SLS) are used for robustness. Finally, the PROCESS macro tool is used to estimate the effect of moderating the role of corporate governance (CG) as robustness.

The findings show that derivatives use has an inverse influence on firm value. The firms did not use derivatives as a risk management tool but for speculation motives. However, the corporate governance index significantly weakens this relationship. However, strong governance forces the managers to use derivatives for hedging purposes. The firm-specific factors, including size, age, leverage, cash, financial distress cost, dividend and growth opportunities, also significantly influence firm value. The findings are robust to the other estimation models.

The findings indicate that emerging economies like Pakistan are more prone to agency problems. The strong corporate governance structure helps firms turn the speculative motive of derivatives use into hedging purposes and mitigate the agency issues.

This empirical evidence suggests that good governance structures can help improve the impact of derivative usage on firm value.

To the best of the author's knowledge, this is the first study that examines the conditional role of corporate governance on the derivatives–value relationship from the viewpoint of agency problem/speculative motive.

The crux of this paper is to unveil efficient features and practical tools that can predict credit default.

Annual data of non-financial listed companies were taken from 2000 to 2020, along with 71 financial ratios. The dataset was bifurcated into three panels with three default assumptions. Logistic regression (LR) and k-nearest neighbor (KNN) binary classification algorithms were used to estimate credit default in this research.

The study’s findings revealed that features used in Model 3 (Case 3) were the efficient and best features comparatively. Results also showcased that KNN exposed higher accuracy than LR, which proves the supremacy of KNN on LR.

Using only two classifiers limits this research for a comprehensive comparison of results; this research was based on only financial data, which exhibits a sizeable room for including non-financial parameters in default estimation. Both limitations may be a direction for future research in this domain.

This study introduces efficient features and tools for credit default prediction using financial data, demonstrating KNN’s superior accuracy over LR and suggesting future research directions.

Applying servant leadership theory, this study aims to investigate whether servant leadership predicts service excellence of bank employees through mediating role of psychological capital (PsyCap). It also tests buffering role of conscientiousness in boosting service excellence.

The study uses data collected from 224 bank employees. SPSS and jamovi statistics were used for data analysis.

Study findings suggest a significant relationship between servant leadership, service excellence and PsyCap. PsyCap emerged as a mediator, and conscientiousness moderated the nexus between servant leadership and service excellence.

Findings highlight important implications for organisational practitioners. Because servant leadership leads to service excellence, practitioners should consider adopting servant leadership at every organizational level. Further, servant leaders could enhance followers’ PsyCap for creating service excellence. Organisations should use customized training programs and development interventions to enhance service excellence.

This study is one of the few studies to investigate the mediating role of PsyCap as a personal resource and buffering role of conscientiousness for service sector employees. Study generates new insights on employee experiences working in service sectors.

Robots have been adopted in numerous tourism and hospitality sectors, including restaurants. This study aims to investigate fast-food employees' use of service robots (SRs) in Pakistan.

This study used a conceptual model based on innovation resistance theory (IRT). By employing structural equation modeling (SEM) in Smart-PLS 3.2.8, we evaluated data from 247 valid respondents.

The findings demonstrated that drivers of robot adaptation significantly influenced image barriers, risk barriers, traditional barriers, usage barriers and value barriers. The results also revealed that usage, image and traditional barriers significantly affect usage intention.

This study enhances the research on robotics acceptance in tourism and hospitality and subsequently aids in the planning for post-COVID-19 resumption. This study offers several practical and theoretical insights for further investigation.

Research has shown that business model innovation can facilitate most ventures to innovate and remain competitive, yet there has been limited work on how digital leadership capabilities influence business model innovation. Building on the dynamic capabilities view, we address this gap by linking digital leadership capabilities with business model innovation via managerial decision-making through provision of grants received by new ventures.

The study is cross-sectional research. Data have been collected utilizing purposive sampling from 313 founding members of new ventures in high-velocity markets, i.e. from Pakistan. SPSS has been used to conduct the moderated mediation analysis.

Digital leadership capabilities foster the business model innovation of the new ventures because they enable new ventures to capitalize on digital technologies and create new ways of generating value for the customers and themselves. Moreover, managerial decision-making mediates digital leadership capabilities and business model innovation relationship, whereas, grants moderate the indirect positive effect of digital leadership capabilities on business model innovation via managerial decision-making. The study generates initial evidence on the impact of digital leadership capabilities on business model innovation via managerial decision-making for new ventures. We advance knowledge on new ventures’ business model innovation by deep-diving into dynamic capabilities view and emphasizing digital leadership capabilities as a significant driver for business model innovation.

With the help of dynamic capabilities theory, this study analyzes how new ventures make use of digital leadership capabilities to promote business model innovation.