Safa Riaz, Keith Townsend and Peter Woods
The purpose of this paper is to understand the role of HRM philosophy for HPWS formulation and implementation, as well as to investigate its role to improve employee perceptions…
Abstract
Purpose
The purpose of this paper is to understand the role of HRM philosophy for HPWS formulation and implementation, as well as to investigate its role to improve employee perceptions of HPWS.
Design/methodology/approach
A qualitative study of 55 interviews was conducted with managers (senior, HR, frontline) and employees from three telecommunication organisations based in Pakistan.
Findings
The findings indicate that a clear, well-developed HRM philosophy ensures clarity in HPWS formulation not only for managers, but also for employees. However, lack of strong philosophical foundations for HPWS can result into distorted HRM messages and negative employee perceptions.
Originality/value
Whilst there remains debate over the positive and negative influence of HPWS for employee outcomes, this study presents HRM philosophy as important HRM component to understand HPWS implementation. The article highlights the fact that the purpose of HPWS practices and its effective communication to employees can make a substantial difference in how employees perceive these practices. In sum, an employee centred philosophy is likely to be pre-condition circumstances for improving employee outcomes.
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Erika Anneli Pärn and David Edwards
The purpose of this paper is to present a literature review of laser scanning and 3D modelling devices, modes of delivery and applications within the architecture, engineering…
Abstract
Purpose
The purpose of this paper is to present a literature review of laser scanning and 3D modelling devices, modes of delivery and applications within the architecture, engineering, construction and owner-operated sector. Such devices are inextricably linked to modern digital built environment practices, particularly when used in conjunction with as-built building information modelling (BIM) development. The research also reports upon innovative technological advancements (such as machine vision) that coalesce with 3D scanning solutions.
Design/methodology/approach
A synthesis of literature is used to develop: a hierarchy of the modes of delivery for laser scan devices; a thematic analysis of 3D terrestrial laser scan technology applications; and a componential cross-comparative tabulation of laser scan technology and specifications.
Findings
Findings reveal that the costly and labour intensive attributes of laser scanning devices have stimulated the development of hybrid automated and intelligent technologies to improve performance. Such developments are set to satisfy the increasing demand for digitisation of both existing and new buildings into BIM. Future work proposed will seek to: review what coalescence of digital technologies will provide an optimal and cost-effective solution to accurately re-constructing the digital built environment; conduct case studies that implement hybrid digital solutions in pragmatic facilities management scenarios to measure their performance and user satisfaction; and eliminate manual remodelling tasks (such as point cloud reconstruction) via the use of computational intelligence algorithms integral within cloud-based BIM platforms.
Originality/value
Although laser scanning and 3D modelling have been widely covered en passant within the literature, scant research has conducted a holistic review of the technology, its applications and future developments. This review presents concise and lucid reference guidance that will intellectually challenge, and better inform, both practitioners and researchers.
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Knowledge is a fundamental source for sustainability and transfer as it plays a vital role in gaining and maintaining competitive advantage; thus it is imperative to investigate…
Abstract
Purpose
Knowledge is a fundamental source for sustainability and transfer as it plays a vital role in gaining and maintaining competitive advantage; thus it is imperative to investigate the factors that might impact knowledge transfer (KT). Therefore, the purpose of this paper is to investigate the association between knowledge enablers (organizational culture (OC), information technology (IT) knowledge leadership (KL) and knowledge strategy (KS)) and KT in the Jordanian construction industry.
Design/methodology/approach
A quantitative research approach was adopted, and structured questionnaire was sent to the employees in the construction industry. An aggregate of 250 surveys were distributed and out of them 195 were obtained, which represented a response rate of 78 percent.
Findings
The results of this paper showed that KS, OC, IT and KL has positive and significant impact on KT.
Originality/value
The study contributes to the literature by empirically testing the antecedents of KT in the Jordanian construction industry. To the best of authors’ knowledge, there are not many studies that incorporate these factors in single model, especially in Jordan.
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Shagufta Parveen, Zoya Wajid Satti, Qazi Abdul Subhan, Nishat Riaz, Samreen Fahim Baber and Taqadus Bashir
This study investigates the impact of the COVID-19 pandemic on investors' sentiments, behavioral biases and investment decisions in the Pakistan Stock Exchange (PSX).
Abstract
Purpose
This study investigates the impact of the COVID-19 pandemic on investors' sentiments, behavioral biases and investment decisions in the Pakistan Stock Exchange (PSX).
Design/methodology/approach
The authors have assessed investors' behaviors and sentiments and the stock market overreaction during COVID-19 using a questionnaire and collected data from 401 investors trading in the PSX.
Findings
Results of structural equation modeling revealed that the COVID-19 pandemic affected investors' behaviors, investment decisions and trade volume. It created feelings of fear and uncertainty among market participants. Evidence suggests that behavioral heuristics and biases, including representative heuristic, anchoring heuristic, overconfidence bias and disposition effect, negatively influenced investors' decisions at the PSX.
Research limitations/implications
This study will contribute to behavioral finance literature in the context of developing countries as it has revealed the impact of COVID-19 on the emerging stock market, and its results are generalizable to other emerging stock markets.
Practical implications
The findings of this study will help academicians, researchers and policymakers of developing countries. Academicians can formulate new behavioral models that can depict the solutions of dealing with an uncertain situation like COVID-19. Policymakers like the Securities Exchange Commission and the PSX can formulate crisis management strategies based on behavioral finance concepts to cope with situations like COVID-19 in the future and help lessen investors' losses in the stock markets. The role of the Securities Exchange Commission is crucial as it regulates the financial markets. It can arrange workshops to educate investors to manage their decisions during crisis time and focus on the best use of irrational and rational decision-making at the same time using Lo (2004) adaptive market hypothesis.
Originality/value
The novelty of the paper is that the authors have introduced overconfidence and disposition effect as mediators that create a connection between representative and anchoring heuristics and investment decisions using primary data collected from investors (institutional and retail) to demonstrate the presence of psychological biases during COVID-19, and it has been done for the first time according to authors' knowledge. It is a contribution and addition to the behavioral finance literature in the context of developing countries' stock markets and their efficiency.
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Javid Iqbal, Muhammad Khalid Sohail and Muhammad Kamran Malik
This study aims to predict the financial performance of Islamic banks with sentiments of management from the textual information in annual reports.
Abstract
Purpose
This study aims to predict the financial performance of Islamic banks with sentiments of management from the textual information in annual reports.
Design/methodology/approach
The study uses data from 33 Islamic banks in six Islamic countries from 2006 to 2020. The authors estimate the model using the system GMM because it helps dealing with endogeneity problem, which are inherent in panel data.
Findings
The findings of the study reveal that there is a strong relationship between the sentiment expressed by management in annual reports and the current (future) financial performance of Islamic banks. The higher the positive sentiments of management, the better financial performance. In addition, the study also suggests that negative sentiments using term frequency-inverse document frequency is linked to a decrease in banks’ financial performance.
Research limitations/implications
The study does not present the Islamic view on sentiment analysis in the context of Islamic scriptures due to the unavailability of a relevant dictionary.
Practical implications
The findings of the study suggest that developing accurate models with the help of textual information for performance prediction of Islamic banks help shareholders, regulators and policymakers avoid devastating events. Using textual information may also help reduce the information asymmetry between the management and shareholders, which may lead to more efficient bank supervision. The study can also help investors evaluate their prospective investments in the Islamic bank.
Originality/value
To the best of the authors’ knowledge, this study is the first of its kind that uses management sentiments for performance prediction of the Islamic banking sector. It may add a valuable contribution to the existing literature.
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Ever since Mark Weiser coined the term “ubiquitous computing” (ubicomp) in 1988, there has been a general interest in proposing various solutions that would support his vision…
Abstract
Purpose
Ever since Mark Weiser coined the term “ubiquitous computing” (ubicomp) in 1988, there has been a general interest in proposing various solutions that would support his vision. However, attacks targeting devices and services of a ubicomp environment have demonstrated not only different privacy issues, but also a risk of endangering user’s life (e.g. by modifying medical sensor readings). Thus, the aim of this paper is to provide a comprehensive overview of security challenges of ubicomp environments and the corresponding countermeasures proposed over the past decade.
Design/methodology/approach
The results of this paper are based on a literature review method originally used in evidence-based medicine called systematic literature review (SLR), which identifies, filters, classifies and summarizes the findings.
Findings
Starting from the bibliometric results that clearly show an increasing interest in the topic of ubicomp security worldwide, the findings reveal specific types of attacks and vulnerabilities that have motivated the research over the past decade. This review describes most commonly proposed countermeasures – context-aware access control and authentication mechanisms, cryptographic protocols that account for device’s resource constraints, privacy-preserving mechanisms, and trust mechanisms for wireless ad hoc and sensor networks.
Originality/value
To the best of our knowledge, this is the first SLR on security challenges in ubicomp. The findings should serve as a reference to an extensive list of scientific contributions, as well as a guiding point for the researchers’ novel to the security research in ubicomp.
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Gulnaz Shahzadi, Fu Jia, Lujie Chen and Albert John
This systematic literature review (SLR) aims to critically analyze the current academic research on the adoption of artificial intelligence (AI) in supply chain management (SCM…
Abstract
Purpose
This systematic literature review (SLR) aims to critically analyze the current academic research on the adoption of artificial intelligence (AI) in supply chain management (SCM) and develop a theoretical framework and future research agenda.
Design/methodology/approach
Through a comprehensive review of 68 relevant papers, this study synthesizes the findings to identify key themes based on extended technology-organization-environment (TOE) theory.
Findings
This study analyzes AI integration in SCM based on the TOE framework, identifying drivers (technological, organizational, environmental and human), barriers (technical, organizational, economic and human) and outcomes (operational, environmental, social and economic) of AI adoption. It emphasizes AI's potential in improving SCM practices like resilience, process improvement and sustainable operations, contributing to better decision-making, efficiency and sustainable practices. The study also provided a novel framework that offers insights for strategic AI integration in SCM, aiding policymakers and managers in understanding and leveraging AI's multifaceted impact.
Originality/value
The originality of the study lies in the development of a theoretical framework that not only elucidates the drivers and barriers of AI in SCM but also maps the operational, financial, environmental and social outcomes of AI-enabled practices. This framework serves as a novel tool for policymakers and managers, offering specific, actionable insights for the strategic integration of AI in supply chains (SCs). Furthermore, the study's value is underscored by its potential to guide policy formulation and managerial decision-making, with a focus on optimizing SC efficiency, sustainability and resilience through AI adoption.
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Sneha Badola, Aditya Kumar Sahu and Amit Adlakha
This study aims to systematically review various behavioral biases that impact an investor’s decision-making process. The prime objective of this paper is to thematically explore…
Abstract
Purpose
This study aims to systematically review various behavioral biases that impact an investor’s decision-making process. The prime objective of this paper is to thematically explore the behavioral bias literature and propose a comprehensive framework that can elucidate a more reasonable explanation of changes in financial markets and investors’ behavior.
Design/methodology/approach
Systematic literature review (SLR) methodology is applied to a portfolio of 71 peer-reviewed articles collected from different electronic databases between 2007 and 2021. Content analysis of the extant literature is performed to identify the research themes and existing gaps in the literature.
Findings
This research identifies publication trends of the behavioral biases literature and uncovers 24 different biases that impact individual investors’ decision-making. Through thematic analysis, an attribute–consequence–impact framework is proposed that explains different biases leading to individual investors’ irrationality. The study further proposes directions for future research by applying the theory–characteristics–context–methodology framework.
Research limitations/implications
The results of this research will help scholars and practitioners in understanding the existence of various behavioral biases and assist them in identifying potential strategies which can evade the negative effects of these biases. The findings will further help the financial service providers to understand these biases and improve the landscape of financial services.
Originality/value
The essence of the current paper is the application of the SLR method on 24 biases in the area of behavioral finance. To the best of the authors’ knowledge, this study is the first attempt of its kind which provides a methodical and comprehensive compilation of both cognitive and emotional behavioral biases that affect the individual investor’s decision-making.
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Virgílio Vasconcelos Souza, Lucas Lopes Ferreira Souza, Oderlene Oliveira, Elnivan Moreira de Souza and Juliana Silva Costa
The purpose of this research is to analyze the influence of heuristics on Brazilian investors' behavior in the decision-making process.
Abstract
Purpose
The purpose of this research is to analyze the influence of heuristics on Brazilian investors' behavior in the decision-making process.
Design/methodology/approach
The authors apply the partial least squares structural equation modeling methodology. This sample is composed of 220 investors.
Findings
The heuristics of overconfidence and anchoring positively influence investors' decision-making, while loss aversion negatively influences it. The herd effect exhibits no influence. The results also support the idea that decision-making positively influences investors' performance. Investors feel secure in their attitudes regarding financial decision-making, even if their decisions are not always rational as they are affected by biases.
Originality/value
This article explains the influence of heuristics on investors' decision-making and performance in the Brazilian context during the COVID-19 pandemic.
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This research investigates the Islamic banks’ intermediation role (e.g. branches and deposits) in financing. It also examines how financing contributes to the regions' economic…
Abstract
Purpose
This research investigates the Islamic banks’ intermediation role (e.g. branches and deposits) in financing. It also examines how financing contributes to the regions' economic growth and poverty alleviation as a predictor and mediator variable.
Design/methodology/approach
A total of 297 observations were extracted from 33 Indonesian districts and 14 Islamic banks during the period 2012–2020. Fixed-effect regression analysis was used to examine variable’s interactions.
Findings
The empirical results indicate that Islamic banks have adopted a channelling role towards redistributing capital from lender to borrower. Besides, there are crucial roles in developing economies and reducing poverty at the district level. This study also reinforces the critical role of financing in mediating the relationship between branches and deposits as predictor variables and GDP and poverty as outcome variables.
Research limitations/implications
The current study was limited to Indonesian Islamic banks and the district’s perspective. Future research needs to cover sub-districts and other poverty measurements (e.g. human education and development perspectives), including conventional and Islamic banks. It can help practitioners, regulators and researchers observe the dynamic behaviour of the banking sector to understand its role in the economic and social fields.
Practical implications
Bank managers and regulators should promote branches, deposits and financing. It also enlightens people about the essential role of Islamic banks and their fundamental operations in business and economics.
Originality/value
This study contributes to economic literature, bank managers and local governments' decision-making processes by developing and testing an economic growth and poverty model.