Search results

The current study attempts to bridge the existing gap related to the role of knowledge acquisition from international alliance partners to improve competitiveness by examining the distinct processes of knowledge acquisition and the challenges confronted in this learning process in order to enhance local and international market performance.

Following case-study approach based on systematic combining, the study presents a case of knowledge acquisition and learning in the context of an international consultancy alliance between leading Pakistani and Chinese engineering firms using six in-depth interviews of key engineers to explore the dynamic mechanisms for knowledge acquisition and learning from the Chinese firm. Grounded analysis drawn upon the Straussian version of grounded theory (GT) {{Strauss, 1990 #136} Strauss, 1998 #139} is used for data analysis in this research.

It was found that the processes of explicit and implicit knowledge acquisition from Chinese firms are integrated consultancy working, social and technical adaptability and seeking confirmation about the work done and knowledge/theories and models used in work. However, these processes are quite complex, posing serious challenges for National Engineering Services, Pakistan to acquire the required knowledge, which can be addressed through partners' motivation to share and acquire knowledge, cultural intelligence and friendship and informal association. The study also found that the knowledge acquired from technologically advanced international organizations by the host partner in the international strategic alliance not only provides a competitive edge to the local host in its local market but also builds its capacity to undertake similar projects in other parts of the world, substantially enhancing its market success.

Adding up to the current literature that focuses on knowledge acquisition in a parent-subsidiary relationship, the current research proposes a framework for knowledge acquisition in the unique context of international strategic alliances. The research provides managerial guidelines to manage knowledge acquisition for gaining a competitive edge that would be helpful for the managers in the era of growing interdependence among the organizations across the borders.

Academic dishonesty has been a matter of great concern in higher education for last few decades. The dishonest behavior of students at graduate and undergraduate level has become a severe issue for education and business sectors, especially when the students exercise same dishonest practices at their jobs. The present research aims to address this matter by investigating the perceptions of students towards academic dishonesty and exploring the security and penalties for dishonest acts of students.

A well‐structured questionnaire was used to collect the data from 958 respondents studying at graduate and undergraduate levels in different Pakistani universities.

It has been found that students involve in academic dishonest acts more frequently about which they believe to be less severe. Moreover, they also suggested lower or no penalties for the same dishonest acts which are perceived as less severe.

The results provide a strong implication for academicians to develop the moralities and ethics in students so that institutions may provide ethically cultivated professionals to the business community.

The research paper is pioneer in its nature to explore the academic dishonest acts of students and their perceptions regarding some of the dimensions of academic dishonest and integrity in Pakistani university students.

This study aims to investigate the determinants of localised corporate social responsibility (LCSR) activities in Pakistan. The present study explores factors influencing the corporate sector to promote the welfare of local areas where the company has located its manufacturing plants.

The authors selected 100 companies listed on the Pakistan Stock Exchange. Data were collected from the companies’ financial reports issued from 2012 to 2017 (N = 700). The authors analysed the data using fixed- and random-effects regression models to test the factors influencing LCSR activities.

The findings indicate that directors’ ancestry significantly enhances LCSR. This implies that boards with a greater number of directors whose names indicate their relevant ancestry are more likely to engage in LCSR. Moreover, environmental-protection activity by the corporate sector promotes LCSR initiatives. However, Pakistan’s corporate sectors are not promoting the essential aspects of their workers’ welfare, e.g. health and education.

The present study was limited to the directors’ ancestry, environmental corporate social responsibility (CSR), CSR for factory workers and donation. Other factors, such as culture and language, may play an important role in determining LCSR.

The results suggest that the Security and Exchange Commission of Pakistan should emphasise the importance of LCSR to develop rural areas and devise meaningful policy for CSR. These findings provide substantial evidence that regulators and policymakers should encourage the inclusion of LCSR by firms listed on the stock exchange to increase environmental protection through CSR policy.

To the best of the authors’ knowledge, this study is the first to explore the determinants of LCSR. Moreover, the present study investigates for the first time the influence of directors’ ancestry on rural development in any of Asia’s developing countries, including Pakistan. The findings of this study contribute theoretically and empirically to the literature.

This study aims to identify critical capabilities to address unforeseen and novel disruptions, such as those instigated by COVID-19, and explore their role as essential enablers of supply chain resilience and responsiveness, leading to improved performance.

The structural equation modeling technique was employed for analyzing the proposed associations using survey data from 206 manufacturers operating during the COVID-19 pandemic in a developing country, Pakistan.

Key findings show how improvisation and anticipation act distinctly yet jointly to facilitate supply chain resilience and responsiveness during the COVID-19 pandemic. Also, data analytics capability positively affects anticipation and improvisation, which mediate the effect of data analytics on supply chain resilience and responsiveness.

The findings contribute to the theoretical and empirical understanding of the existing literature, suggesting that a combination of improvisation, anticipation and data analytics capabilities is highly imperative for enhancing supply chain resilience and responsiveness in novel and unexpected disruptions.

This is the first study to examine the impact of data analytics on improvisation and anticipation and the latter as complementary capabilities to enhance supply chain resilience and responsiveness. The empirical investigation explores the interplay among data analytics, improvisation, and anticipation capabilities for enhancing supply chain resilience, responsiveness, and performance during the unforeseen and novel disruptions, such as brought to bear by the COVID-19 pandemic.

The aim of the researchers in this endeavor is to identify the challenges and obstacles faced by beginning teachers in higher education. This study also explores practical implications and what adaptation can be utilized in order to have high performance of the beginning teachers.

Researchers have applied qualitative and quantitative technique to collect and interpret data. Semi‐structured interviews were conducted from the 40 beginning teachers of the case study university in order to identify various hindering factors of high performance.

Research results indicate that by addressing the 11 major hindering factors of beginning teachers' high performance, i.e. less teaching exposure, overburden, strict evaluation, lack of training, insufficient material and supplies, lack of effective communication, student counseling problems, classroom discipline problems, difficulties in assessing students' work, least expectations of career in teaching and misbehavior of students, the performance level of beginning teachers in higher education can be enhanced.

The current research addresses the most neglected area about teachers' performance management, that is problems of higher education teachers in their early careers. This exploration of beginning teachers' hindering issues can play a vital role in developing human resource development strategies in universities. The present research can prove to be a significant initiator for beginning teachers as they will get a glimpse of what problem areas they could face.

Small farmers, being the primary producers of crops, are the key players in the food supply chain. Yet, they remain the most marginalized in the value chain. The marginalization of small farmers can affect food sustainability. The purpose of this paper is to identify opportunities for bringing more value to small farmers in an agricultural value chain.

This paper makes use of action research, studying the potato value chain, in a developing agricultural country Pakistan. The authors conducted an in-depth study of 37 farmers in four regions, each being a large potato growing ecosystem. The study examined the end-to-end decision-making processes, sources of input (both physical and information), cultivation and sales practices, cost structure, productivity and profitability of the farmers in potato farming.

Large variations exist in the crop yield, cost structure and profitability of farmers within each of and among the four regions due to differences in cultivation practices and approach to sales. There is a significant potential to lower costs, increase yield and enhance overall profitability by using the existing better processes. By addressing the issues faced by small farmers their profits can be potentially doubled. The paper also discusses potential means of recrafting and streamlining the value chain to bring more value to small farmers.

The paper provides a detailed account of how different interventions can increase the value for small farmers. Since the current food supply chain and sustainability are under stress, worldwide, the findings of this study have implications for farmers as well as policy makers.

The literature on streamlining the agricultural value chain and enhancing the share of small farmers is scarce. Improving the value chain and reducing the marginalization of small farmers is an essential step toward increasing food sustainability.

Financial shenanigans are the omissions or actions undertaken with the purpose of misrepresenting an organisation's financial statements. Many examples now exist of such behaviour emerging in the context of a desire to deceive the users of financial reports. In this context, research has illustrated how investors can find themselves impacted by such behaviour, with incorrect decision-making around investment decisions being a major issue. However, auditors' perspectives, of obvious importance in such scenarios, given these individuals' role in attesting to the veracity of financial disclosures, have not been investigated. The aim of this study is to address this gap by seeking the experiences of auditors in the developing nation of Pakistan, an environment in which the significant impact of financial improprieties is well-documented.

Interviews with 50 Pakistani-based auditors were conducted to gather perceptions about the nature and prevalence of financial shenanigans. The questions posed were structured to address issues relating to both the drivers of and methods used to operationalise financial malfeasance.

The views expressed by the participants suggest that this type of malpractice is common, with a variety of forms employed and a level of audacity and shamelessness is striking. The results indicate the absence of the three institutional pillars conventionally associated with motivating organisational attempts to legitimise behaviour and maintain social contracts. When considered alongside recent findings that the audit profession in Pakistan may not always play an effective monitoring role, we argue that the evidence suggests the existence of motivations for legitimising strategies are not yet fully understood.

This contention helps address recent calls for investigation of issues around legitimising tendencies where theoretical understanding is incomplete. A full understanding of the embedded practices will provide capital providers with the opportunity to make more informed decisions regarding their investments in Pakistani firms by highlighting the financial shenanigans involved, including the sheer audacity apparently associated with the observed behaviour.

Earnings management and auditing have not been studied widely in Pakistan despite the abundant and persistent nature of corporate scandals across the nation for many decades. Whilst implementation (and enforcement) of some accounting and auditing standards have taken place recently, the financial collapses continue, and understanding regarding the on-going fraud is urgently needed. The extent and shameless nature of the perceived behaviour are striking, suggesting that those closest to financial reporting in Pakistan see fraudulent financial reporting as being close to, if not yet fully representative of, normal practice.

Single-valued neutrosophic sets (SVNSs) are efficient models to address the complexity issues potentially with three components, namely indeterminacy, truthness and falsity. Taking advantage of SVNSs, this paper introduces some new aggregation operators (AOs) for information fusion of single-valued neutrosophic numbers (SVNNs) to meet multi-criteria group decision-making (MCGDM) challenges.

Einstein operators are well-known AOs for smooth approximation, and prioritized operators are suitable to take advantage of prioritized relationships among multiple criteria. Motivated by the features of these operators, new hybrid aggregation operators are proposed named as “single-valued neutrosophic Einstein prioritized weighted average (SVNEPWA) operator” and “single-valued neutrosophic Einstein prioritized weighted geometric (SVNEPWG) operators.” These hybrid aggregation operators are more efficient and reliable for information aggregation.

A robust approach for MCGDM problems is developed to take advantage of newly developed hybrid operators. The effectiveness of the proposed MCGDM method is demonstrated by numerical examples. Moreover, a comparative analysis and authenticity analysis of the suggested MCGDM approach with existing approaches are offered to examine the practicality, validity and superiority of the proposed operators.

The study reveals that by choosing a suitable AO as per the choice of the expert, it will provide a wide range of compromise solutions for the decision-maker.