Omar Khan, Fiaz Khan, Carlo Ragusa and Bartolomeo Montrucchio
Rapid advancements in computer technologies over the past decade have recorded significant growth in the area of computational micromagnetics. As a result, current micromagnetic…
Abstract
Purpose
Rapid advancements in computer technologies over the past decade have recorded significant growth in the area of computational micromagnetics. As a result, current micromagnetic codes exploit the scalability offered by parallel and distributed computer architectures to deliver maximum performance. The purpose of this paper is to present a review, which explores various aspects of this relationship.
Design/methodology/approach
The authors arrange the theme for this paper around the micromagnetic code development process. The review involves a discussion of the micromagnetic model, some new parallel architectures, and computational aspects based on different numerical methods.
Findings
As current micromagnetic code is not readily portable to different architectures, most of the development effort goes towards this area, with a focus on writing/rewriting code for streaming hardware (particularly graphic cards).
Originality/value
The paper identifies key challenges and avenues for further research on computational aspects of micromagnetic modelling and suggests recommendations based on the review.
Details
Keywords
Kashif Abbass, Abdul Aziz Khan Niazi, Tehmina Fiaz Qazi, Abdul Basit and Huaming Song
The study aims to investigate the barriers in implementing social distancing at the workplace as an aftermath of the COVID-19 pandemic period.
Abstract
Purpose
The study aims to investigate the barriers in implementing social distancing at the workplace as an aftermath of the COVID-19 pandemic period.
Design/methodology/approach
Study design consists of a review of literature, data collection and analysis. It encompasses identification, verification and analysis of the relationships among the barriers. Data have been collected from a panel of experts on matrix-type questionnaires from workplaces. Interpretive structural modeling (ISM) augmented with “Matrice d' Impacts Croise's Multiplication Appliquée a UN Classement (Cross Impact Matrix Multiplication Applied to Classification)” (MICMAC) for structural analysis.
Findings
The literature has identified twenty major barriers to implementing social distancing at the workplace. The research findings reveal/show that the barrier “matter of disrespect” occupies the bottom level in the ISM model. Therefore, it is the most critical barrier; whereas, employees with disabilities and “herding culture” are crucial as they occupy the next lowest level, therefore, are crucial. Moreover, there are ten barriers positioned in the middle of the model having moderate-severe effects, and seven falls on the top level of the model having relatively less severe effects. Results of MICMAC affirm and avow the results of ISM.
Research limitations/implications
The study will have profound theoretical and practical implications for stakeholders since it provides lot of new useful and valuable information, gives relational insights and determines priorities subject to usual limitations of survey research.
Originality/value
It is an original attempt to make some sense of practicability of social distancing for stakeholders including policymakers, frontline health workers and public at large.
Details
Keywords
Abdul Aziz Khan Niazi, Tehmina Fiaz Qazi, Irfan Ali and Rashid Ahmad
In current vista of corporate governance (CG), whistleblowing (WB) has become critical for practitioners, researchers and other stakeholders. This study aims to identify…
Abstract
Purpose
In current vista of corporate governance (CG), whistleblowing (WB) has become critical for practitioners, researchers and other stakeholders. This study aims to identify, prioritize and analyze the interrelationships of determinants of effective WB on the basis of opinion of a medium-sized panel of experts.
Design/methodology/approach
It is a cross-sectional descriptive study conducted in the field setting. A self-administered structured questionnaire was used to collect primary data from the respondents. This study follows an interpretive structural modeling (ISM) approach.
Findings
This study found that the factor “specific law for WB” has maximum driving power but minimum dependence and occupies bottom level (the most critical level) in the ISM model. The Matrice d’Impacts Croisés Multiplication Appliquée á un Classement analysis revealed that there is no autonomous and dependent factor in the model. There are eight linking factors and only one independent factor.
Research limitations/implications
The study found that the factor “specific law for WB” has maximum driving power but minimum dependence and occupies bottom level (the most critical level) in the ISM model. The Matrice d'Impacts Croisés Multiplication Appliquée á un Classement analysis revealed that there is no autonomous and no clear-cut dependent factor in the model. There are eight linking factors out of which five have high dependence as well, and there is only one independent factor.
Practical implications
This study has ensued in identification of significant challenging issues in WB and in development of interrelationships to gain insights into priority of these issues. This study uses limited primary data in context of Pakistan; therefore, generalizability of the findings is limited.
Originality/value
This study presents a novel theoretical and conceptual model focused on effective WB. The value of the study on effective WB is highly relevant for today’s complex organizations but incipient in literature. The insights provided by the study have vital importance for corporations to embark on the regime of reforms in CG.
Details
Keywords
Mohammad Imdadul Haque and Md Riyazuddin Khan
The purpose of this paper is to provide a detailed analysis of the trends in temperature and rainfall over the period 1967–2016 (50 years) for the Kingdom of Saudi Arabia and…
Abstract
Purpose
The purpose of this paper is to provide a detailed analysis of the trends in temperature and rainfall over the period 1967–2016 (50 years) for the Kingdom of Saudi Arabia and estimate the effect of these climatic changes on major crop production.
Design/methodology/approach
To set up an empirical association between crop yields and climatic variables, the study uses a fixed effect regression framework. This approach makes it possible to capture the effects of time-invariant indicators and farmers' independent adaptation strategies in reaction to year-to-year variations in precipitation and temperature.
Findings
The study observes a significant increase in average temperature by 1.9 degrees Celsius in the last 50 years and the greatest increase is noted in the summer. However, there is no significant change in rainfall. The results indicate that a one-degree Celsius increase in temperature reduces crop yields by 7–25%. The results also indicate that rainfall has a positive effect on all the crops. But, rainfall could not offset much of the adverse effects of temperature.
Research limitations/implications
Future research can focus on the analysis of the climate change impact assessment for different regions in the Kingdom of Saudi Arabia and develop a place-based policy.
Originality/value
The recent initiative to phase out crop production makes the Kingdom of Saudi Arabia entirely rely on imports. This may have little or no impact presently. However, in the future, it is possible that any global shocks on agriculture due to climate change or geopolitical instability will make the situation worse off. It will threaten both food and nutrition security in the Kingdom of Saudi Arabia. Therefore, it is important to study these in the present context to prepare a road map for future food, water and nutrition security.
Details
Keywords
Kittisak Jermsittiparsert, Navaporn Wongsuwan and Bülent Akkaya
The aim of this research work is to examine the originator which is affecting in Thailand the adoption of m-commerce (based on the behavioural intention). The usage of m-commerce…
Abstract
The aim of this research work is to examine the originator which is affecting in Thailand the adoption of m-commerce (based on the behavioural intention). The usage of m-commerce has faced reluctance by the subscribers of mobile phone, which is in general the most anticipated challenge among both the developing and developed countries. Similarly, there are restricted empirical research work regarding to the m-commerce in Thailand. As a result, in the situation of developing countries (for instance, Thailand specially), very less numbers of research exist for the recognition of important variables for the m-commerce installation or estimating the m-commerce adoption variables. For explaining the behavioural targets of subscribers and for estimation generally the model that has been used is referred to as technology acceptance model (TAM). First, the factor subjective norms by the region of technology acceptance had contradictory outcomes and inconsistency to the behavioural target. In this study, we employed the Smart Partial Least Square Structural Equation Modelling version 3.2.6 as a data analysis technique. The response rate of the current study is 81%. The results have certainty that has established the presence of these associations between the users which implicated the significance of subjective norms in Thailand which were recognized. The personal opinion of usefulness, perceptions of attitude and easy usage to m-commerce are the important features towards the subjective norms which are the social impacts.
Details
Keywords
Zia Ur Rehman, Imran Shafique, Kausar Fiaz Khawaja, Munazza Saeed and Masood Nawaz Kalyar
Drawing upon the institutional theory, this study examines the influence of responsible leadership on firm performance. Furthermore, this research investigates environmental…
Abstract
Purpose
Drawing upon the institutional theory, this study examines the influence of responsible leadership on firm performance. Furthermore, this research investigates environmental management practices (EnvMP) as an underlying mechanism and institutional pressures as boundary condition between responsible leadership and firm performance.
Design/methodology/approach
Time-lagged data were collected using survey-questionnaire from 385 mid-level employees of construction industry in Pakistan. Partial least square-structural equation modeling (PLS-SEM) was used to analyze the data.
Findings
Results demonstrate that responsible leadership impacts firm performance (financial and nonfinancial) directly and through EnvMP. Furthermore, institutional pressure moderates the link between responsible leadership and EnvMP. However, moderated mediation effect of intuitional pressures was found insignificant.
Practical implications
This study suggest that EnvMP is a key process through which responsible leadership influences firms' financial and nonfinancial performance and shed lights as to when responsible leaders matter most in terms of firm performance through low or high institutional pressures.
Originality/value
This paper is an early attempt which contributes to the body of literature on responsible leadership by investigating mechanisms (how) and boundary condition (when) through which responsible leadership influences firms' financial and environmental performance.
Details
Keywords
Arash Khalili Nasr, Mona Rashidirad, Hamze Asgari Hatamabadi, Mobin Ghasempour Nejati and Nick Hajli
This paper investigates the impact of various leadership styles on the professionalization and subsequent performance of family businesses.
Abstract
Purpose
This paper investigates the impact of various leadership styles on the professionalization and subsequent performance of family businesses.
Design/methodology/approach
Using a survey method and employing a partial least squares approach to structural equation modeling, we tested our model and analyzed the collected data based on the responses of 216 managers in Iran.
Findings
Our research demonstrates that professionalization mediates the relationship between leadership style and performance. Moreover, our findings show that the participative leadership style is the most effective option for family businesses seeking to achieve professionalization and improve performance.
Research limitations/implications
First, the sample used in this study was drawn from a single country, namely Iran. Second, although we adhered to established practices for measuring financial performance, future research could explore alternative dimensions of performance, including non-financial goals. Third, we did not investigate the impact of different leadership styles on each dimension of professionalization.
Practical implications
These findings provide valuable insights for family business managers seeking to adopt a suitable leadership style to achieve professional management and realize favorable outcomes.
Originality/value
Our study suggests that examining the potential impact of leadership styles on professionalization can provide clarity amidst mixed findings regarding the influence of professionalization on firm performance. Additionally, we challenge the oversimplified categorization of professionalization and argue for a multifaceted view, contending that professionalization comprises various dimensions acting concurrently and potentially mediates the effect of leadership styles on family business performance.
Details
Keywords
Talal Ali Mohamad, Anna Bastone, Fabian Bernhard and Francesco Schiavone
Digital transformation affected modern society influencing how businesses cooperate and produce value. In this context, Artificial Intelligence plays a critical role. This study…
Abstract
Purpose
Digital transformation affected modern society influencing how businesses cooperate and produce value. In this context, Artificial Intelligence plays a critical role. This study aims to explore the role of Artificial Intelligence in organisational positioning within the market, influencing firms' competitiveness. In this vein, this research seeks to respond to the following research question: How does AI impact the competitive advantage of healthcare organizations?.
Design/methodology/approach
To tackle the research question, an explorative analysis using the case study method to investigate an international healthcare center in Dubai was conducted. Nine semi-structured interviews were conducted with the head and the members of the robotic surgery team in CMC Dubai to thoroughly understand what the components of the robotic approach are and how the arrangement before the introduction of this innovative technique while shedding light on the added value and the advantages of adopting such technique on both patient safety and patient satisfaction. Additionally, archival data and online documentation (e.g. industry reports, newspaper articles and internal documents) were analyzed to obtain data triangulation.
Findings
The results highlight three primary outcomes influenced by implementing AI in organizational processes: clinical, financial and technological outcomes. The study will offer interesting non-studied insights about the implementation of Artificial Intelligence tools in the healthcare sector and specifically robotic surgeries, and to which extent this will contribute and represent a competitive advantage. Results will hopefully insert a brick in the wall of the impact of AI tools on the quality and the results of surgical operations while emphasizing the benefits of integrating AI in surgical practice.
Originality/value
This study offers interesting theoretical and practical implications. It opens a new perspective to understand and manage AI tools in service. This research is not without limits providing valuable insights for future research.
Details
Keywords
Aamna Khan and Richa Chaudhary
This study aims to examine perceived organizational politics (POP) as an antecedent to workplace gossip. While the commonly held belief is that POP is consequential to the…
Abstract
Purpose
This study aims to examine perceived organizational politics (POP) as an antecedent to workplace gossip. While the commonly held belief is that POP is consequential to the existence of negative workplace gossip, an alternate hypothesis can be that POP may predict positive workplace gossip as well. The study further explores the role of compassion as a boundary condition in the relationship of POP with negative and positive valences of workplace gossip.
Design/methodology/approach
Using purposive sampling technique, the data were collected through time-lagged (two-wave) surveys from employees working in private (Study 1, n = 366) and public (Study 2, n = 206) sector organizations across India, and analyzed using SPSS AMOS 27 and PROCESS Macro (Model 1).
Findings
The results of Study 1 and Study 2 revealed that POP correlated positively with negative as well as positive workplace gossip. Further, it was found that compassion moderated the relationship of POP with negative workplace gossip but failed to moderate in the case of positive workplace gossip in both the studies.
Practical implications
This study makes practitioners aware of the ubiquity of the phenomenon of workplace gossip and encourages them to embrace gossip in the workplace rather than banishing it altogether.
Originality/value
This study delineates the link between POP and the valences of workplace gossip that remains unexplored in the literature. The study also takes into account the intervening role of compassion in the aforementioned relationships. The striking results of the study open new realms of research possibilities not only in the field of workplace gossip, but POP and compassion as well.
Details
Keywords
Nabila Khurshid, Hamza Sharif, Mosab I. Tabash and Ghaleb A. El Refae
There will probably be nine billion people on the earth by 2050, meaning food consumption will rise dramatically. Pakistan, the fifth most populous nation in the world, is rapidly…
Abstract
Purpose
There will probably be nine billion people on the earth by 2050, meaning food consumption will rise dramatically. Pakistan, the fifth most populous nation in the world, is rapidly expanding its population, making it difficult for the nation to sustain its food supply. Unfortunately, the country's focus on ensuring food security has not kept up with the demographic shifts in its population. However, innovative solutions are sorely needed in the face of several worldwide problems, especially in the crucial agriculture sector. This underscores the need to integrate sustainable financial practices. Considering these circumstances, this research thoroughly examines the intricate relationship inside Pakistan between financial stability (FS), agricultural subsidies, and productivity. Acknowledging the underlying intricacies and asymmetries at work, this study aims to analyze the complex relationships influencing the nation's agricultural production.
Design/methodology/approach
The research tries to shed light on the subtle processes at the intersection of financial stability, agricultural subsidies, and agricultural productivity through a comprehensive investigation of these multiple challenges. A non-linear autoregressive distributive lag (NARDL) technique is used, using a dataset from 1980 to 2022.
Findings
The results show that FS has a mixed impact on agricultural productivity, both positive and negative. Increasing FS_POS has a beneficial influence on agricultural output, linked to a notable 1.404% increase in output. On the other hand, increasing FS_NEG causes a significant 11.441% decrease in agricultural output, demonstrating its negative impact on output. Subsidies for agriculture also have asymmetric impacts; SUB_POS and SUB_NEG influence variations in agricultural productivity. A substantial 2.414% rise in agricultural output is shown by SUB_POS, demonstrating its noteworthy beneficial influence. Conversely, SUB_NEG adds a relatively small increase of 1.659% in agricultural output. However, the different amounts of each person's contribution show how subtle their effects are.
Research limitations/implications
The current study is limited to the relationship between financial stability, agricultural subsidies, and agricultural productivity, considering the inherent complexity and asymmetries at work in Pakistan only. Further studies are required in Asian markets to have a bigger picture of the agricultural sector.
Originality/value
Considering these critical empirical findings, the report recommends strategic strategies to promote long-term agricultural growth in Pakistan. These include providing integrated financial services customized to farmers' needs, such as credit, insurance, and savings alternatives. Transparency and efficiency in procedural frameworks and the formation of efficient public-private partnerships should be prioritized. Furthermore, improving agricultural subsidy schemes emerges as a crucial priority. Targeting marginalized farmers more effectively and optimizing distribution through transparent, digitally driven systems can significantly improve program performance.