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1 – 10 of 71Abdallah Alalawin, Laith Mubarak Arabiyat, Wafa Alalaween, Ahmad Qamar and Adnan Mukattash
These days vehicles' spare parts (SPs) are a very big market, and there is a very high demand for these parts. Forecasting vehicles' SPs price and demand are difficult because of…
Abstract
Purpose
These days vehicles' spare parts (SPs) are a very big market, and there is a very high demand for these parts. Forecasting vehicles' SPs price and demand are difficult because of the lack of data and the pricing of the SPs is not following the normal value chain methods like normal products.
Design/methodology/approach
A proposed model using multiple linear regression was developed as a guide to forecasting demand and price for vehicles' SPs. A case study of selected hybrid vehicle is held to validate the results of the research. This research is an original study depending on quantitative and qualitative methods; some factors are generated from realistic data or are calculated using numerical equations and the analytic hierarchy process (AHP) method; online questionnaire and expert interview survey.
Findings
The price and demand for SPs have a linear relationship with some independent variables is the hypothesis that is tested. Even though the proposed models are generally recommended for predicting demand and price, in this research the linear relationship models are not significant enough to calculate the expected price and demand.
Originality/value
This research should concern both academics and practitioners since it provides new intuitions on the distinctions between scientific and industrial world regarding SPs for vehicles as it is the first study that investigates price and demand of vehicles' SPs.
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Rehan Husain, Taab Ahmad Samad and Yusra Qamar
This study aims to identify the present research trends and streamline future research possibilities in luxury brands by a systematic review of the existing literature.
Abstract
Purpose
This study aims to identify the present research trends and streamline future research possibilities in luxury brands by a systematic review of the existing literature.
Design/methodology/approach
A portfolio of 552 articles published between 1996 and 2020 in the luxury brands domain is collected from the Scopus database and analyzed using an integrated approach comprising bibliometric and content analyses.
Findings
A comprehensive review of the available literature was done by identifying emerging topics, keywords and research themes. The study's findings indicate that the luxury brand is an exponentially growing theme; seven representative research clusters are identified and analyzed.
Originality/value
This study enriches the literature of luxury brand by presenting a holistic view of the academic literature using an integrated research methodology comprising bibliometric and content analysis techniques.
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Yusra Qamar and Taab Ahmad Samad
This paper aims to identify the current research trends and set the future research agenda in the area of human resource (HR) analytics by an extensive review of the existing…
Abstract
Purpose
This paper aims to identify the current research trends and set the future research agenda in the area of human resource (HR) analytics by an extensive review of the existing literature. The paper aims to capture state of the art and develop an exhaustive understanding of the theoretical foundations, concepts and recent developments in the area.
Design/methodology/approach
A portfolio of 125 articles collected from the Scopus database was systematically analyzed using a two-tier method. First, the evolution, current state of the literature and research clusters are identified using bibliometric techniques. Finally, using content analysis, the research clusters are studied to develop the future research agenda.
Findings
Based on the bibliometric analysis, network analysis and content analysis techniques, this study provides a comprehensive review of the existing literature. The study also highlights future research themes by identifying knowledge gaps based on content analysis of research clusters.
Research limitations/implications
The evolution and the current state of the HR analytics literature are presented. Some specific research questions are also provided to help future research.
Originality/value
This study enriches the literature of HR analytics by integrating bibliometric analysis and content analysis to develop a more systematic and exhaustive understanding of the research area. The findings of this study may assist fellow researchers in furthering their research in the identified research clusters.
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Yusra Qamar, Rakesh Kumar Agrawal, Taab Ahmad Samad and Charbel Jose Chiappetta Jabbour
An original systematic review of the academic literature on applications of artificial intelligence (AI) in the human resource management (HRM) domain is carried out to capture…
Abstract
Purpose
An original systematic review of the academic literature on applications of artificial intelligence (AI) in the human resource management (HRM) domain is carried out to capture the current state-of-the-art and prepare an original research agenda for future studies.
Design/methodology/approach
Fifty-nine journal articles are selected based on a holistic search and quality evaluation criteria. By using content analysis and structural concept analysis, this study elucidates the extent and impact of AI application in HRM functions, which is followed by synthesizing a concept map that illustrates how the usage of various AI techniques aids HRM decision-making.
Findings
A comprehensive review of the AI-HRM domain’s existing literature is presented. A concept map is synthesized to present a taxonomical overview of the AI applications in HRM.
Research implications/limitations
An original research agenda comprising relevant research questions is put forward to assist further developments in the AI-HRM domain. An indicative preliminary framework to help transition toward ethical AI is also presented.
Originality/value
This study contributes to the literature through a holistic discussion on the current state of the domain, the extent of AI application in HRM, and its current and perceived future impact on HRM functions. A preliminary ethical framework and an extensive future research agenda are developed to open new research avenues.
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Sumeer Gul, Shohar Bano and Taseen Shah
Data mining along with its varied technologies like numerical mining, textual mining, multimedia mining, web mining, sentiment analysis and big data mining proves itself as an…
Abstract
Purpose
Data mining along with its varied technologies like numerical mining, textual mining, multimedia mining, web mining, sentiment analysis and big data mining proves itself as an emerging field and manifests itself in the form of different techniques such as information mining; big data mining; big data mining and Internet of Things (IoT); and educational data mining. This paper aims to discuss how these technologies and techniques are used to derive information and, eventually, knowledge from data.
Design/methodology/approach
An extensive review of literature on data mining and its allied techniques was carried to ascertain the emerging procedures and techniques in the domain of data mining. Clarivate Analytic’s Web of Science and Sciverse Scopus were explored to discover the extent of literature published on Data Mining and its varied facets. Literature was searched against various keywords such as data mining; information mining; big data; big data and IoT; and educational data mining. Further, the works citing the literature on data mining were also explored to visualize a broad gamut of emerging techniques about this growing field.
Findings
The study validates that knowledge discovery in databases has rendered data mining as an emerging field; the data present in these databases paves the way for data mining techniques and analytics. This paper provides a unique view about the usage of data, and logical patterns derived from it, how new procedures, algorithms and mining techniques are being continuously upgraded for their multipurpose use for the betterment of human life and experiences.
Practical implications
The paper highlights different aspects of data mining, its different technological approaches, and how these emerging data technologies are used to derive logical insights from data and make data more meaningful.
Originality/value
The paper tries to highlight the current trends and facets of data mining.
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Muhamad Magffierah Razali, Nur Hairunnisa Kamarudin, Mohd Fadzil Faisae Ab. Rashid and Ahmad Nasser Mohd Rose
This paper aims to review and discuss four aspects of mixed-model assembly line balancing (MMALB) problem mainly on the optimization angle. MMALB is a non-deterministic…
Abstract
Purpose
This paper aims to review and discuss four aspects of mixed-model assembly line balancing (MMALB) problem mainly on the optimization angle. MMALB is a non-deterministic polynomial-time hard problem which requires an effective algorithm for solution. This problem has attracted a number of research fields: manufacturing, mathematics and computer science.
Design/methodology/approach
This paper review 59 published research works on MMALB from indexed journal. The review includes MMALB problem varieties, optimization algorithm, objective function and constraints in the problem.
Findings
Based on research trend, this topic is still growing with the highest publication number observed in 2016 and 2017. The review indicated that the future research direction should focus on human factors and sustainable issues in the problem modeling. As the assembly cost becomes crucial, resource utilization in the assembly line should also be considered. Apart from that, the growth of new optimization algorithms is predicted to influence the MMALB optimization, which currently relies on well-established algorithms.
Originality/value
The originality of this paper is on the research trend in MMALB. It provides the future direction for the researchers in this field.
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Hawwa Abdul Mokti, Nor Azzah Kamri and Mohd Abd Wahab Fatoni Mohd Balwi
The purpose of this study is to examine and review tayyiban indicators in the context of halal food production. In Islam, food produced or manufactured must be halal and tayyiban…
Abstract
Purpose
The purpose of this study is to examine and review tayyiban indicators in the context of halal food production. In Islam, food produced or manufactured must be halal and tayyiban. Even though both halal and tayyiban are always mentioned together in the Quran, the halal aspect is highlighted more than tayyiban. The discussion of tayyiban’s indicators is still vague.
Design/methodology/approach
The study was adopted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for the review of the current research which used two main journal databases, namely, Web of Science and Scopus. Accordingly, the search resulted in a total of 40 articles that can be systematically examined.
Findings
The results of review of these articles formulated five main themes: safety, nutrition, cleanliness, quality and authenticity. These five indicators are considered relevant enough in the context of halal food production to build a comprehensive tayyiban concept.
Originality/value
This study enriches the field of halal food research. The concept of tayyiban as a whole has been given limited attention in academic literature. At the end of this study, a number of recommendations are suggested for the reference of future scholars.
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The objective of this study was to look closely at how domestic violence is represented in Pakistani drama serials to see if portrayals are reinforcing stereotypical and/or…
Abstract
Purpose
The objective of this study was to look closely at how domestic violence is represented in Pakistani drama serials to see if portrayals are reinforcing stereotypical and/or patriarchal values, or breaking the rigid norms.
Design/methodology/approach
With the help of dispositive analysis within the critical discourse approach, the prominent and non-dominant discourses about domestic violence were identified and discussed. Episodes from two popular drama serials, Kaisa Yeh Naseeban and Khaas, released in 2019, were watched with special focus on texts on domestic violence alongside objects and actions.
Findings
Analysis showed that both drama serials gave importance to socio-systemic and liberal humanist instrumentalism discourses, which describe domestic violence as a result of social structures and that abuse is used to assert control, respectively. However, some instances were noted where patriarchal values were encouraged.
Originality/value
As media has become a powerful tool of influence and awareness in the recent times, it is imperative that the content watched on it by millions of people be studied and analyzed. It is claimed that Pakistani drama serials with wide following and that are made on social issues around women aim to raise awareness and empower them. Domestic violence is a prevalent issue in Pakistan, and no research till date has examined representation of domestic violence on Pakistani popular media, which may influence response to domestic violence, which this paper aims to do.
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Krishna Reddy, Muhammad Ali Jibran Qamar, Nawazish Mirza and Fangwei Shi
The purpose of the study is to examine overreaction effect in the Chinese stock market after the global financial crisis (GFC) of 2007 for all the stocks listed in Shanghai Stock…
Abstract
Purpose
The purpose of the study is to examine overreaction effect in the Chinese stock market after the global financial crisis (GFC) of 2007 for all the stocks listed in Shanghai Stock Exchange (SSE) Composite 50 index.
Design/methodology/approach
To capture overreaction effect in the stock listed at SSE 50 Index, a time series analysis of average cumulative abnormal return within a unified framework is applied for the period of January 2009 to December 2015. From these loser and winner portfolios, contrarian strategy is applied to build arbitrage portfolio, which is the difference of mean reversions between loser and winner portfolios. The portfolio construction is based on a 12-month formation period and 6-month testing period for intermediate-term analysis and. for short-term analysis, 6 month formation and 3 month testing periods. The authors also applied regression analysis to test a return reversal effect for the sampled period.
Findings
Results show that contrarian strategy yields positive excess returns for the arbitrage portfolio for most of the testing periods. The intermediate baseline case shows the arbitrage portfolio producing an average excess return of 14.1%, while even the short-term one produces 4%, which is statistically significant at the 5% level. The study finds asymmetrical overreactions in the SSE especially for loser portfolios. The biggest winner and loser portfolios follow the mean reversal effect. Moreover, before-after test for the biggest winner and loser portfolios shows that the losers recovered and beat the market immediately.
Practical implications
The study could benefit government, policy makers and regulators by studying how presence of more individual investors than institutional investors of China stock market leads to more irrational decisions giving rise to volatility. The regulators could build favourable policies for institutional investors to give them incentive to invest more than individual investors through which market volatility could be controlled.
Originality/value
This research contributes to market behaviour research, showing how working under hypotheses of overreaction; gains can be made with contrarian investment strategy through arbitrage portfolios. The authors provide specific additional support for the short and medium-term overreaction in the SSE for the period 2009–2015 using regression analysis.
Contribution to Impact
This research contributes to market behaviour research, showing how working under hypotheses of overreaction; gains can be made with contrarian investment strategy through arbitrage portfolios. We provide specific additional support for the short and medium-term overreaction in the SSE for the period 2009–2015 using regression analysis.
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Muhammad Qamar Zia, Muhammad Adnan Bashir, Riaz Ahmed Mangi and Aamir Feroz Shamsi
Based on trait activation theory, the purpose of the present study is to explore the relationship between the antecedents and outcomes of informal learning with the moderating…
Abstract
Purpose
Based on trait activation theory, the purpose of the present study is to explore the relationship between the antecedents and outcomes of informal learning with the moderating effect of supervisor feedback environment (SFE) in small- and medium-sized enterprises (SMEs).
Design/methodology/approach
Data (n = 388) were gathered from middle managers of Pakistan’s SME sector by following the purposive sampling technique. The proposed model was examined by means of structural equation modeling analysis with AMOS 24.
Findings
The study results delineate that middle managers with high-level self-efficacy and motivation to learn more actively participate in informal learning activities. The study also found that the SFE is a strong contextual moderator between the nexus of personal factors and informal learning. In addition, informal learning also has significant and positive effect on work engagement.
Practical implications
Human resource practitioners and organizational leaders of small businesses can use informal learning to improve employees’ skills and knowledge with less cost. For instance, management should use different strategies to enhance the effectiveness of informal learning by providing SFE.
Originality/value
There are numerous recent calls for research to ascertain the interaction of individual, contextual factors and outcomes of informal learning. The study addresses these voids by empirically examining antecedents and outcomes of informal learning simultaneously through the person–situation interaction perspective. It demonstrates that informal learning at the workplace becomes more effective in SFE.
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