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Achieving social sustainability has become a critical challenge in global supply chain networks, particularly during complex crises such as terrorism. The purpose of this study is to explore how institutional forces influence the social sustainability approaches of logistics service providers (LSPs) in high terrorism-affected regions (HTAR). This then leads to investigating how the key factors interact with Institutional Theory.

An exploratory multiple-case study research method was used to investigate six cases of different-sized logistics LSPs, each in an HTAR. The data was collected using semistructured interviews and triangulated using on-site observations and document analysis. Thematic analysis was used in iterative cycles for cross-case comparisons and pattern matching.

The findings interact with Institutional Theory and the three final-order themes. First, management processes are driven by coopetition and innovation. Second, organizational resources, structure and culture lead to an ineffective organizational design. Finally, a lack of institutionalization creates institutional uncertainty. These factors are rooted in many other first-order factors such as information sharing, communication, relationship management, capacity development, new process developments, workforce characteristics, technology, microlevel culture and control aspects.

This study answers the call for social sustainability research and enriches the literature on social sustainability, Institutional Theory and LSPs in HTARs by providing illustrations showing that institutional forces act as driving forces for social sustainability initiatives by shaping the current management processes. Conversely, the same forces impede social sustainability initiatives by shaping the current organizational designs and increasing institutional uncertainty.

The purpose of this paper is to investigate the knowledge gaps in the extant literature on the role of ambidexterity and coopetition in designing resilient fashion supply chains (RFSCs), and to develop a contextual framework for effective decision-making to enable practitioners to enhance their supply chain resilience.

The study adopts a novel multi-evidence-based approach comprising Denyer and Tranfield's (2009) systematic literature review (SLR) with context, intervention, mechanism and outcome (CIMO) logic, text mining and network analysis. The approach constitutes a rigorous methodology that cross-validates results and ensures the reliability and validity of findings.

The authors identified key knowledge gaps in the literature and explored the main contribution categories (e.g. conceptual understandings, operational impacts, use of theories and frameworks). Subsequently, we developed a contextual framework of ambidextrous coopetition to design RFSCs. Finally, an empirical research agenda is proposed with the five research directions to address the gap and take forward the notion of ambidextrous coopetition and RFSCs.

The multi-evidence-based approach is a structured and triangulated SLR approach and thus lacks empirical study.

This research proposes a contextual framework of ambidextrous coopetition that can be used by fashion companies to embed resilience into their structures and operations. This research also presents an agenda for the future empirical research.

This paper contributes by providing a combinatory synthesis on the role of ambidexterity and coopetition in designing RFSCs. This paper introduces a novel methodological triangulation for improving the quality and validity of SLRs. It identifies significant knowledge gaps and defines directions for future research.

The purpose of this paper is to investigate the knowledge gaps in the published research on terrorism-related risk in supply chains, and to develop a framework of strategies and effective decision-making to enable practitioners to address terrorism-related risks in supply chain risk management (SCRM) and security.

The study adopts a novel combination of triangulated methods comprising a systematic literature review (SLR), text mining and network analysis. These methods have not been jointly utilized in past studies, and the approach constitutes a rigorous methodology that cross-validates results and ensures the reliability and validity of qualitative data.

The study reveals a number of key themes in the field of SCRM and security linked with terrorism. The authors identify relevant mitigation strategies and practices for effective strategic decision making. This subsequently leads us to develop a strategic framework of strategies and effective decision-making practices to address terrorism-related risk, affecting SCRM and security. The authors also identify key knowledge gaps in the literature and explore the main contributions by disciplines (e.g. business schools, engineering and maritime institutions) and countries.

The authors provide a strategic framework of strategies and effective decision-making practices that managers can use to minimize terrorism-related risk in the context of SCRM and security.

This paper introduces a novel methodological combination for improving the quality of SLRs. It uses the approach to systematically review the strategies and effective decision-making practices interlinked with terrorism risk, affecting SCRM and security. It identifies significant knowledge gaps and defines directions for future research.

This paper aims to investigate the relationship of information-seeking anxiety (ISA) with socio-academic variables of business students in the digital environment.

A cross-sectional survey using a questionnaire was conducted. The questionnaire, composed of 47 items of Information Seeking Anxiety Scale along with certain socio-academic variables, was administered personally among business students by visiting their classrooms at the Lahore School of Economics, Pakistan. The received 283 responses were analyzed by applying descriptive and inferential statistics such as mean, standard deviation, t-test and one-way analysis of variance.

The results revealed that a large majority of business students were less comfortable in information seeking and experienced anxiety from mild to moderate levels. There were only a few respondents who faced either low or severe levels of ISA. In relationship testing, the students’ socio-academic variables such as program type, gender, school background, geographical background, information communication technology skills and English language competence did not appear to be the predictors of their ISA.

The results of this study should carefully be used while making generalizations for all the business students in Pakistan and abroad as this research collected data from the business students of a single university in Pakistan.

These results have greater implications for the future directions of information literacy as creating awareness and building capacity for skills about the information search process will help in reducing ISA. These findings provided a pragmatic insight that can be used as a guide by information professionals, especially those engaged in information services, to develop a need-based curriculum of information literacy which would ultimately help in the alleviation of anxiety and combating its effects on students’ academic performance.

This study address specifically ISA of business students that would make a worthy contribution to the existing research on ISA as, to the best of the authors’ knowledge, no such study has appeared so far.

This paper aims to investigates a novel design of a modular moving magnet linear oscillating actuator (MMM-LOA) with the capability of coupling modules, based on their application and space requirements.

Proposed design comprised of modules, and modules are separated by using nonmagnetic materials. Movable part of the proposed design of LOA is composed of permanent magnets (PMs) having axial magnetization direction and tubular structure. Stator of the proposed design is composed of one coil individually in a module. Dimensions of the design parameters are optimized through parametric analysis using COMSOL Multi Physics software. This design is analyzed up to three modules and their response in term of electromagnetic (EM) force and stroke are presented. Influence of adding modules is analyzed for both directions of direct current (DC) and alternating input loadings.

Proposed LOA shows linear increase in magnitude of EM force by adding modules. Motor constant of the investigated LOA is 264 N/A and EM force per PM mass is 452.389 N/kg, that shows significant improvement. Moreover, proposed LOA operates in feasible region of stroke for compressor application. Furthermore, this design uses axially magnetized PMs which are low cost and available in compact tubular structure.

Proposed LOA shows the influence of adding modules and its effect in term of EM force is analyzed for DC and alternating current (AC). Moreover, overall performance and structural topology is compared with state-of-the-art designs of LOA. Improvement with regard of motor constant and EM force per PM mass shows originality and scope of this paper.

The learning outcomes are as follows: what tasks are to be done by medical representatives in pharmaceutical industry? This study also highlights various competencies required to do effective selling in this industry; analyzes and discusses different unethical practices going on in the market; explains why ethical norms are necessary in sales context when sales targets are already achievable with unethical means; and develops and comments on strategies Flori Pharmaceutical can make to overcome on these unethical issues. What should be the response of Dahar to the email of Naveed khan? What course of action should be taken by Dahar in the deceitful reporting case of Mohsin Ali?

Flori is considered a leading and growing multinational organization in the highly competitive environment of Pakistan pharmaceutical industry with over 40 years of experience. The company aims to command a leading position in developing new health-care products as it offers a wide range of diabetic, cardiovascular, respiratory and vitamin products based on quality as a result of high research and examination. Recently, an email to Bilal Dahar on March 2017 from Flori’s star sales person Naveed Khan has forced management to take some strong decisions regarding ethical norms and values to be adopted by medical representatives of Flori pharmaceuticals. The email highlighted the issues related to sales pressure which are leading toward unethical sales practices. Dahar just not have to maintain Flori’s ethical code of conduct but he and his team also has to work hard to achieve more than 26% growth rate in sales revenue as compared to last year. Dahar knew that the highly competitive environment of pharmaceutical industry has led most of the stake holders to indulge in unethical behavior to achieve their individual targets. He knew that this is dangerous in long term for the multinational organizations such as Flori pharmaceuticals as if the similar behavior continues, the sales culture and values of the organization would be on stake. He also has to decide what decision to be taken against deceitful reporting issue of one of the top-performer territory managers, who was key person in helping Flori to close the sales year 2016 with the revenue of Rs. 6.4bn, a 26% growth over the last year. The case is rich enough to provide a platform regarding management of several ethical challenges in pharmaceutical selling and developing strategies based on them.

BBA, MBA final year.

Teaching Notes are available for educators only.

CSS 8: Marketing.

The purpose of this paper is to expand previous theories of motivation and religious ethics by examining the moderation effect of Islamic work ethic (IWE) on the relationship between perception of politics (POP) and job satisfaction, and turnover intention and negligent behavior (NB).

The sample consisted of 260 workers employed in various sectors in an Asian country. Multiple linear regression analyses were used to test the main effect of the five hypotheses. In addition, moderated models are used to identify factors (IWE) that may change the relationship between independent and dependent variables.

Results revealed that POP was negatively related to job satisfaction, and positively related to turnover intention and NB. IWE was positively related to job satisfaction, and negatively related to turnover intention (confirming previous research findings), and NB (a contribution of the current study). Furthermore, when the moderator variable of IWE was introduced to the relationship between POP and job outcomes, the influence and direction of the POP were altered (a major contribution of this study). In other words, the moderator variable strengthened job satisfaction and reduced both turnover intention and NB of organizational workers.

When the moderator variable of IWE was introduced to the relationship between the POP and job outcomes, the influence and direction of the POP were altered (a major contribution of this study).

Drawing upon conservation of theory, this study aims to extend the scant literature on the effect of leader-member exchange (LMX) on workplace deviance behaviour (WDB) and adaptive performance by investigating the role of Islamic work ethics as moderators.

A time-lagged and multi-source data of (269 paired responses) of employees working in Islamic banks were used for hypotheses testing.

Taken together, the findings revealed that Leader Member Exchange (LMX) has a positive and significant impact on adaptive performance and is negatively related to employees’ WDB. The results of the moderation effect showed the positive relationship of LMX with adaptive performance and the negative relationship with WDB is stronger for high Islamic work ethics (IWE).

This study provides practical insight that Islamic business ethics plays a significant role in fostering adaptive performance and reducing the deviance behaviour of employees.

To the best of the authors’ knowledge, this is the first study that examined the moderating role of IWE between LMX-adaptive performance and LMX-WDB. This study has also filled the gap of scant literature about the impact of LMX on adaptive performance and WDB.

Production industries are undergoing a digital transition, referred to as the fourth industrial revolution or Industry 4.0, as a result of rapidly expanding advances in information and communication technology. The purpose of this research is to provide a conceptual insight into the impact of unique capabilities from the fourth industrial revolution on production and maintenance tasks in terms of providing the existing production companies a boost by making recommendations on areas and tasks of great potential.

A survey and a literature review are among the research methods used in the research. The survey collected empirical data using a semi-structured questionnaire, which provided a broad overview of the company's present condition in terms of production and maintenance, resulting in more comprehensive and specific information regarding the study topics.

The study points out that, the implementation of I4.0-technology leads to an increase in production, asset utilization, quality, reduced machine down time in industries, and maintenance. Sensor technology, big data analysis, cloud technologies, mobile end devices, and real-time location systems are now being implemented to improve production processes and boost organizational competitiveness. Moreover, the study highlights that data acquired throughout the production process is utilized for quality control, predictive maintenance, and automatic production control. Furthermore, I4.0 solutions help companies to be more efficient with assets at each stage of the process, allowing them to have a stronger control on inventories and operational-optimization potential.

The findings of the study was supported by empirical data collected through survey that provides an intangible understanding of the importance of distinctive capabilities from the I4.0 revolution on production and maintenance tasks. In this study, some recommendations and guidelines to enhance these tasks are provided that are vital for existing production companies.

In artificial intelligence, the optical character recognition (OCR) is an active research area based on famous applications such as automation and transformation of printed documents into machine-readable text document. The major purpose of OCR in academia and banks is to achieve a significant performance to save storage space.

A novel technique is proposed for automated OCR based on multi-properties features fusion and selection. The features are fused using serially formulation and output passed to partial least square (PLS) based selection method. The selection is done based on the entropy fitness function. The final features are classified by an ensemble classifier.

The presented method was extensively tested on two datasets such as the authors proposed and Chars74k benchmark and achieved an accuracy of 91.2 and 99.9%. Comparing the results with existing techniques, it is found that the proposed method gives improved performance.

The technique presented in this work will help for license plate recognition and text conversion from a printed document to machine-readable.