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Content analysis is a methodology that has been used in many academic disciplines as a means to extract quantitative measures from textual information. The purpose of this paper is to document the use of content analysis in the supply chain literature. The authors also discuss opportunities for future research.

The authors conduct a literature review of 13 leading supply chain journals to assess the state of the content analysis-based literature and identify opportunities for future research. Additionally, the authors provide a general schema for and illustration of the use of content analysis.

The findings suggest that content analysis for quantitative studies and hypothesis testing purposes has rarely been used in the supply chain discipline. The research also suggests that in order to fully realize the potential of content analysis, future content analysis research should conduct more hypothesis testing, employ diverse data sets, utilize state-of-the-art content analysis software programs, and leverage multi-method research designs.

The current research synthesizes the use of content analysis methods in the supply chain domain and promotes the need to capitalize on the advantages offered by this research methodology. The paper also presents several topics for future research that can benefit from the content analysis method.

The purpose of this paper is to understand communication pathways and factors that cause sustainability initiatives to become contagious from downstream to upstream members of a supply chain, which is termed sustainable supply chain contagion (SSCC).

This study takes an inductive, grounded theory approach, while utilizing established theories.

The decision to implement a sustainability initiative depends on the business case for the organization. Importantly, the findings outline several network and communication factors that overcome the weak business case and, therefore, foster SSCC. Based on these findings, a communication network model of SSCC is outlined. Network factors include the contagion pathways, the role of sustainability and top management teams and communication channels. Communication factors include the alignment of sustainability initiatives with departmental objectives, the articulation of goals and assuring the endurance of a sustainability initiative.

Managers can utilize the proposed model to create conditions that strengthen the business case of a proposed sustainability initiative, thus fostering SSCC. The presented findings reveal different tactics that can assist organizations in communicating sustainability initiatives in a persuasive manner, to permit the proliferation of sustainability across the supply chain.

This research enables a multilevel examination of the factors influencing SSCC.

The purpose of this paper is to identify the obstacles that impede cold chain implementation in developing countries.

A grounded theory methodology was employed to execute this research. Eight semi-structured, in-depth interviews were conducted with senior managers in Vietnam. In addition, consistent with grounded theory guidelines, the authors utilized archival data to facilitate theory development.

The results of the analysis revealed a total of ten key obstacles: deficient professional skills, lack of quality and safety-control measures, high concentration of intermediaries, poor infrastructure, lack of information systems, high cost of installation and operation, inadequate education and training at farmer level, deficiency of standardization, lack of government support for local businesses and social norms.

Although many authors have recognized the enormity of food wastage and limited employment of cold chain in developing countries compared to developed countries, few efforts have been made to explore the reasons for the limited use of cold chains in developing countries. There are several noteworthy theoretical and managerial contributions that emerged from addressing this gap.

This study aims to explore both the drivers (performance expectancy and perceived usefulness of ChatGPT) and the barrier (effort expectancy) that Indonesian youth encounter when adopting generative AI technology, such as ChatGPT, as they pursue digital entrepreneurship.

This study utilizes Hayes' Process Model to evaluate the proposed hypotheses through survey data collected from 518 Indonesian youth.

This study's findings highlight a paradoxical relationship that emerges when effort expectancy intersects with performance expectancy and perceived usefulness of ChatGPT. Specifically, we discovered that when young individuals perceive the adoption of generative AI technology as requiring significant effort, their motivation to engage in digital entrepreneurship is significantly enhanced if they also view the tool as highly useful and beneficial to their future business endeavors.

The findings provide valuable insights for educators and policymakers focused on advancing digital entrepreneurship in developing nations through the integration of generative AI technology.

Our study enriches an underexplored niche within the field of entrepreneurship by examining the intersection of Indonesian youth, generative AI technology and digital entrepreneurship. By incorporating the Expectancy-Value Theory, it brings a fresh perspective to the study of paradoxical relationships in contemporary research in this domain.

This study aims to offer and validate an integrated marketing capability-product innovations framework. Particularly, it aims to examine the role of adaptive marketing capability in enabling market ambidexterity and incremental as well as radical product innovation. Also it intends to investigate the moderating role of transformational leadership between adaptive marketing capability and market ambidexterity.

Manufacturing firms in Pakistan, an emerging economy, are taken as the context for this study. A designed survey questionnaire is used for data collection. Partial least square technique is employed to empirically validate and test the hypothesized model with a sample of 192 manufacturing firms. Particularly, the two-stage approach in SmartPLS is used to validate measurement models, and structural equation modeling technique is used to test the proposed hypothesis.

The findings not only confirm that adaptive marketing capability is instrumental to both incremental and radical product innovations but also reveal that adaptive marketing capability serves an important antecedent to market ambidexterity shedding new lights on its mediating role in the relationship of adaptive marketing capability with incremental and radical product innovations. Moreover, the results find that the effectiveness of adaptive marketing capability to support market ambidexterity may involve a possible trade-off between exploitation and exploration when the leaders exhibit a low or high level of transformational leadership behavior.

This study contributes to outside-in strategic perspective and contextual ambidexterity literature by revealing the role of adaptive marketing capability as an important enabler of market ambidexterity which, in turn, allows the firm to simultaneously introduce incremental and radical product innovations. In this way, this study advances the current understanding of the antecedents and consequences of contextual ambidexterity. Also, this study provides insight into the types of capabilities needed for the firm's contextual and employees' behavioral adaptation to simultaneously manage exploitation and exploration within the same business unit which was lacking in the previous literature. Further, this study also offers a novel understanding of the conditional role of transformational leadership between adaptive marketing capability and market ambidexterity.

In this paper, multi-period location–inventory–routing problem (LIRP) considering different vehicles with various capacities has been investigated for the supply chain of red meat. The purpose of this paper is to reduce variable and fixed costs of transportation and production, holding costs of red meat, costs of meeting livestock needs and refrigerator rents.

The considered supply chain network includes five echelons. Demand considered for each customer is approximated as deterministic using historical data. The modeling is performed on a real case. The presented model is a linear mixed-integer programming model. The considered model is solved using general algebraic modeling system (GAMS) software for data set of the real case.

A real-world case is solved using the proposed method. The obtained results have shown a reduction of 4.20 per cent in final price of red meat. Also, it was observed that if the time periods changed from month to week, the final cost of meat per kilogram would increase by 43.26 per cent.

This paper presents a five-echelon LIRP for the meat supply chain in which vehicles are considered heterogeneous. To evaluate the capability of the presented model, a real case is solved in Iran and its results are compared with the real conditions of a firm, and the rate of improvement is presented. Finally, the impact of the changed time period on the results of the solution is examined.

This paper argues that teachers’ promotion should also have an impact on turnover intention. The purpose of this paper is to determine the relationship between promotion and turnover intention of advance learning institutions of the Khyber Pakhtoon Khwa Province of Pakistan and the moderating effect of the analytical cognitive style.

A quantitative approach is used predominantly. A questionnaire survey research design is used to collect the data from the entire province and 502 completed questionnaires were collected from the respondents. The questionnaire included the Job Descriptive Index consisting of seven items on job satisfaction, the turnover intention questionnaire consisting of three items and a five-point Likert scale used to determine cognitive style index (CSI); the CSI was used. The fourth section included an open-ended questionnaire and the fifth section included demographic variables. Hierarchical multiple regressions were used to check how much variance promotion occurs upon turnover intention and it also determined how much variance analysis cognitive style occurs upon promotion and turnover intention of advance learning institutions of the KPK province of Pakistan. The correlation results from a bivariate Pearson correlation showed significant results, which were later strengthened by the regression results.

The findings suggested that a negative relationship was found between promotion and turnover intention, whereas a weak correlation was found between promotion and analytical. Moderating results show that analytical cognitive style does act as a moderator between the promotion and turnover intention.

This research was only carried out on advance learning institutions; thus, the findings can only be generalized to higher education institutions in the Khyber Pakhtoon Khwa state.

This extended model of job satisfaction will be useful to lead to changes in job satisfaction and turnover intention of academicians of the Khyber Pakhtoon Khwa province of Pakistan. The findings of this study could be used to guide the management of advance learning institutions and professional academicians to build targeted learning activities around key components of the academician’s promotion, determine where individuals are in their journey, set personalized goals and provide feedback to the management in the process of the development of policies for academicians of advance learning institutions.

The findings of this study will help the higher education commission of Pakistan to make policies that will enable higher education institutions to formulate flexible promotion policies for teachers in order to retain them.

The findings of this study are a valuable extension of the relevant research as this is the first empirical study to examine the effects of cognitive style on promotion policies and turnover intention in advance learning institutions of Pakistan. In the context of an efficient and effective educational policy, a greater understanding of an academician’s promotion could facilitate the development of a more effective policy practice that would increase not only the job satisfaction of the academicians but decrease the turnover intention of the academicians.

The main purpose of this study is to determine the accounting analytics technology (AAT) adoption among manufacturing small and medium-sized enterprises (SMEs) based on the extended technology acceptance model (TAM).

The quantitative research approach with online surveys was used to collect data from 219 accounting managers among manufacturing SMEs in Jordan. To test the suggested research model, partial least squares structural equation modeling was used.

The findings indicated that all direct paths were found to be significant in the hypothesized directions. Ultimately, the results also revealed that perceived usefulness has mediated the relationship between perceived ease of use and intention to use AAT, and hence all direct and indirect hypotheses were accepted.

This research has successfully extended the TAM model in the context of AAT adoption among Jordanian manufacturing SMEs by including new factors along with the original factors of the TAM model, particularly in the postpandemic era.

Pakistan's present war against extremists has many folds and sheds. The country's initial participation in the Afghan War in 1979 later gave birth to different extremist trends in the country. State patronage of the extremist Wahabi Islamists during the Afghan jihad opened another conflict in Pakistan, and things became more complicated. The combination of external and internal factors gave birth to the worst kind of conflict, which now has not only become dangerous for the country's own existence but also a major threat for global peace. The Afghan jihad initially started as a war against Soviet occupation and later became the hub of global jihad-war against infidels.

This chapter analyzes how external factors promoted internal contradictions in Pakistan due to which the country became not only an exporter of jihadis for the world but also the worst kind of sectarian conflicts, including. Shia–Sunni, Deobandi–Wahabi clashes, entered into in the past two decades. Such a strong link exists with Pakistan's official support to global jihad. Draft sectarian groups now head to head with their opponents have killed thousands of members of rival sectors, have strong support from external sympathizers, and have spread in the country. The well planned terrorist activities of these groups reflect the fact that support to these groups in the past is now leading to a severe crisis in Pakistan. The nexuses of these indigenous extremists like Lashkar-e-Jhangvi, Lashkar-e-Taiba, Tehrik-e-Taliban Pakistan, and Hizb-ul-Mujahideen with external terrorist organizations like Al-Qaeda, the Taliban, and Islamic Movement of Uzbekistan of Tahir Yuldasher Chechen Guerilla War has led to several bloody clashes in the country and outside.

The prevention of mental health issues at work represents a significant challenge for organizations. The transformation of workplaces whose future promises to be virtual or hybrid can make the anticipation and prevention of these health issues more challenging, considering the potential distance that it may create between employees and their employers. The recent health crisis undermined individual mental health but also highlighted the importance of new technologies which greatly paved the way for the future of workplaces. This paper aims to examine these new technologies, specifically the use of blockchain technologies in organizations to predict and prevent mental health issues at work, specifically psychological distress, in times of crisis, and beyond. It addresses the main challenges and opportunities and presents research avenues as well as insights for human resource management (HRM) practitioners.

This paper is a viewpoint that addresses the use of blockchain technology in the prevention of employees’ mental health at work in times of crisis and beyond. Literature was used to support this viewpoint and highlight the importance of addressing mental health issues at work and preventing their occurrence in the future.

Blockchain is one of the disruptive new technologies that can be used as a strategic tool for organizations to prevent mental health issues among employees in the workplace in times of crisis, and beyond. It facilitates the collaboration between employees, their organization, healthcare and employee assistance program (EPA) providers, as well as insurance companies. In this context, a specific type of blockchain should be used to support this type of collaboration.

Blockchain can generate both opportunities and challenges for the prevention of mental issues at work. It can transform the future of workplaces and help organizations as well as healthcare and EPA providers to anticipate potential employees’ mental health issues in 2019. Organizations need to address their readiness to implement this new technology and the possible reluctance of their employees to use it. This paper presents insights for managers and HRM practitioners.

The studies that have addressed the use of blockchain in organizations to prevent employees’ mental health issues are sparse. This paper is an attempt to address this gap and examine the challenges as well as the opportunities associated with the use of this disruptive new technology that can significantly reshape the future of workplaces.