bluuebunny/crossref_metadata_2025_split huggingface dataset:
The borders are re-opening! Has virtual reality been a friend or a foe to the tourism industry so far?
Authors: Tan Kim-Lim , Hii Ivy S.H. , Zhu Wenqian , Leong Choi-Meng , Lin Eliver 
Published: October 2022

PurposeLeveraging the technology acceptance model (TAM) and the stimulus–organism–response (S–O–R) theory, this paper aims to investigate how the utilitarian and hedonic factors in virtual reality (VR) technologies affect consumers' intention to travel in the endemic phase of COVID-19. At the same time, the study incorporated emotional engagement and two forms of trust as possible organisms for this model.Design/methodology/approachThrough snowball sampling, data collected from 263 respondents were analysed using the partial least square structural equation modelling (PLS-SEM).FindingsThe findings revealed that among the different forms of hedonic and utilitarian factors, all but perceived entertainment has a significant positive relationship to emotional engagement. Additionally, emotional engagement positively influences trust in the product and seller. However, the results show that only trust in the seller has a significant relationship with travelling intention. Predictive analysis shows that the model displays a strong predictive power.Originality/valueThis study differentiates from the existing literature by investigating the effect of VR technologies on the two different forms of trust and emotional engagement on travelling intention. This study extends earlier studies by supplementing the explanatory perspective with a predictive focus, which is particularly important in making sound recommendations on managerial decision-making.
Information processing costs and firm-specific information flows: evidence from the launch of high-speed railway in China
Authors: Zhao Gang , Yu Xin , Ni Kailun 
Published: October 2022

PurposeThe findings suggest that reducing information processing costs as a result of better transportation is an important ingredient in promoting the pricing of firm-specific information. This study aims to discuss the aforementioned issue.Design/methodology/approachThe authors adopt a difference-in-difference (DID) research design to examine the impact of information processing costs on stock price synchronicity with a sample of firms listed in the Chinese A-share market during 2007 and 2017.FindingsThis paper shows that the launch of the high-speed railway (hereafter HSR) in China is associated with lower stock price synchronicity, consistent with the theory that the HSR reduces investors’ information processing costs (cost of monitoring, acquiring and analyzing firm disclosures). This effect is more pronounced for companies located in remote areas than for those located in large cities. Further tests show that the negative association between the launch of HSR and stock price synchronicity is stronger for companies with higher information asymmetries, proxied by higher equity concentration, higher complexity and lower internal control quality.Originality/valueThis study contributes to the literature in the following three ways. First, prior literature relates the effects of geographic distance to information transmission and information asymmetry between insiders and outside investors (e.g. Coval and Moskowitz, 2001; Kang and Kim, 2008; Malloy, 2005). The authors supplement the literature by providing new empirical evidence from an exogenous shock (natural experiment), that is, the launch of HSR, that facilitates transportation and reduces information transmission costs. Second, prior studies have shown that new airline routes that facilitate transportation improve investment and productivity (e.g. Bernstein et al., 2016; Giroud, 2013). The authors extend this stream of studies by showing that the development of HSR networks reduces information processing costs, and promotes the incorporation of firm-specific information in the asset pricing. More importantly, in this study, the authors explicitly incorporate disclosure processing costs theory into our framework thus enhancing our understanding of how and why improvements in transport relate to better market outcomes.
International business research on “emerging economies”: a critical review and recommendations
Authors: Ott Dana L. , Michailova Snejina , Earl Anna , Ang Siah Hwee 
Published: October 2022

PurposeOver the past few decades, examinations of emerging economies (EEs) have received increasing attention in international business (IB) research. This article takes a critical stance on some of the re-occurring shortcomings of that research.Design/methodology/approachThe authors conducted a critical literature review of 493 articles on EEs that have been published in five top-tier IB academic journals in the period 2010–2020. True to the nature of a critical literature review, the authors judge and question some of the practices that have impeded knowledge accumulation.FindingsThe authors found a recurring lack of definitional clarity and contextualization, as well as overgeneralized inferences from findings. The authors provide recommendations on how to address these weaknesses and a checklist to guide future IB research on EEs.Originality/valueThe authors question and problematize what they see as dominant but undesirable practices when conducting EE research. The actionable directions for addressing uncovered issues and checklist to guide future research in this area that the authors offer are rather bold and unambiguous.
Reforming Australia's approach to hazards and disaster risk: national leadership, systems thinking, and inclusive conversations about vulnerability
Authors: Buchtmann Monica , Wise Russell , O'Connell Deborah , Crosweller Mark , Edwards Jillian 
Published: October 2022

PurposeThere are many pragmatic challenges and complex interactions in the reduction of systemic disaster risk. No single agency has the mandate, authority, legitimacy or resources to fully address the deeper socio-economic, cultural, regulatory or political forces that often drive the creation and transfer of risk. National leadership and co-ordination are key enablers. This paper shares Australia's progress in building an enabling environment for systemic disaster risk reduction, and specifically how a change in thinking and resolve to work differently is beginning to shape nation-wide reforms and national programs of work.Design/methodology/approachThe project and program of work adopted an inclusive, collaborative, co-design and co-production approach, working with diverse groups to create new knowledge, build trust, ongoing learning and collective ownership and action. Values- and systems-based approaches, and ethical leadership were core aspects of the approach.FindingsCo-creating a more comprehensive and shared understanding of systemic disaster risk, particularly the values at risk and tensions and trade-offs associated with the choices about how people prevent or respond, has contributed to a growing shift in the way disasters are conceptualised. New narratives about disasters as “unnatural” and the need for shared responsibilities are shaping dialogue spaces and policy frameworks. The authors’ experience and ongoing learning acknowledge pragmatic challenges while also providing evidence-based ideas and guidance for more systems and transformative styles and competencies of leadership that are needed for convening in contested and complex environments.Practical implicationsThis work built networks, competencies and generated ongoing momentum and learning. The lessons, evidence and reports from the work continue to be accessed and influential in research, emergency management and disaster mitigation practices (e.g. engagement, communications, training) and policy. Most significantly, the National Disaster Risk Reduction Framework provides the basis, justification and guidance for the nation's policy reform agenda around disaster risk reduction and is catalysing national efforts in developing a national action plan and systemic measurement, evaluation and learning to ensure the realisation of disaster risk reduction priorities.Originality/valueA practical example is offered of a nation actively learning to navigate the governance challenges and implement strategies to address the reduction of complex, systemic risks.
The role of contextual factors in shaping HRM formality in SMEs
Authors: Burhan Muhammad , Hamdan Omar Abou , Tariq Hussain , Hameed Zahid , Naeem Rana Muhammad 
Published: October 2022

PurposeThis study examines the influence of contextual factors (e.g. age and ownership type) on HRM formality (including the underlying functions of recruitment, selection, training and development, performance appraisal and compensation) in SMEs.Design/methodology/approachData were collected through a quantitative survey of 300 owners/managers of services, manufacturing and trade SMEs in Pakistan.FindingsFirm age, association with a larger parent entity, existence of a strategic business plan and the presence of a human resource information system (HRIS) are positively related with higher HRM formality. Firm size, family ownership and exporting characteristics had no association with formality.Practical implicationsThis study suggests a highly influential role for contextual factors in shaping HRM practices in Pakistani SMEs. Since the lack of a strategic approach towards human resource development is directly linked to the inferior performance of SMEs in Pakistan, this study provides an understanding of the contextual institutional setting that shapes the nature of HRM practices. The findings inform both SME owners/managers and policy makers.Originality/valueInstitutional influences on HRM systems have attracted attention but organisational factors are less often studied. Studies mostly relate to Western contexts and lack perspectives from SMEs. The findings of this empirical investigation highlight the importance of context specific research given the different nature of institutional settings.
Modeling labor costs using artificial intelligence tools
Authors: Momade Mohammed Hamza , Durdyev Serdar , Dixit Saurav , Shahid Shamsuddin , Alkali Abubakar Kori 
Published: October 2022

PurposeConstruction projects in Malaysia are often delayed and over budget due to heavy reliance on labor. Linear regression (LR) models have been used in most labor cost (LC) studies, which are less accurate than machine learning (ML) tools. Construction management applications have increasingly used ML tools in recent years and have greatly impacted forecasting. The research aims to identify the most influential LC factors using statistical approaches, collect data and forecast LC models for improved forecasts of LC.Design/methodology/approachA thorough literature review was completed to identify LC factors. Experienced project managers were administered to rank the factors based on importance and relevance. Then, data were collected for the six highest ranked factors, and five ML models were created. Finally, five categorical indices were used to analyze and measure the effectiveness of models in determining the performance category.FindingsWorker age, construction skills, worker origin, worker training/education, type of work and worker experience were identified as the most influencing factors on LC. SVM provided the best in comparison to other models.Originality/valueThe findings support data-driven regulatory and practice improvements aimed at improving labor issues in Malaysia, with the possibility for replication in other countries facing comparable problems.
Design of a wearable multi-point temperature monitoring system – practical application in waist temperature monitoring
Authors: Ma Liang , Li Jun 
Published: October 2022

PurposeHuman skin temperature data can provide reference advice for diagnosing many diseases, but current wearable skin temperature monitoring systems have few points and may miss temperature information in critical areas. This paper aims to develop a wearable system that can be used for local temperature monitoring and restore better the actual state of local human temperature by exploring ways to extend more temperature measurement points. This will provide better assistance in developing medical targeting and intelligent clothing.Design/methodology/approachThe temperature measurement system contains modules for temperature monitoring, digital-to-analog conversion and regulated power supply, enabling fast reading of 12 channels of monitoring data. The microprocessor unit is the STM32F407. The instructions and control modes are written in C. The waist area was chosen as the monitoring area because it is susceptible to temperature, and many diseases are associated with skin temperature. Twelve points, including temperature-related acupuncture points and heat-sensitive points, were selected for testing and the data results agreed well with the infrared imaging results.FindingsThe waist is selected as the monitoring object, and an easy-to-wear waist temperature monitoring belt is designed to verify the application value of the system. The development of the system provides reference suggestions for the exploration of multi-point temperature monitoring systems and the integration capabilities of temperature measurement modules in wearable multifunctional systems.Practical implicationsIn addition to waist temperature monitoring, the wearable temperature measurement system developed in this study can also be applied to other body parts. In addition, the system can be efficiently and effectively combined with various garments, making it a useful tool for researching human skin temperature.Originality/valueThe wearable temperature monitoring system designed in this paper extends the number of temperature test points to 12. The number of test points covers as many localized body areas as possible to indeed reproduce the temperature distribution of the human body. In addition, the selection of test points combines medically relevant body points with physiologically relevant heat-sensitive areas, which makes the temperature measurement data more valuable.
A real-test and simulation combined platform for developing intelligent tracking control of multirotors
Authors: Bajelani Mohammad , Tayefi Morteza , Zhu Man 
Published: October 2022

PurposeThis study aims to minimize the risk of costly failures of flight tests during the path tracking control design, and a noble approach has been proposed in this study to put the whole vehicle-in-the simulation loop. Working with the real system is essential for developing intelligent and data-driven controllers for multirotor drones which needs learning the drones' nonlinear complicated dynamics. The vehicle-in-the-loop (VIL) platform developed in this paper is a safe and effective solution to deal with this problem.Design/methodology/approachTo avoid risky flight test during controller design, the multirotor is hinged to a shaft that allows the multirotor's angular motion but restricts translational motion. The test-bed includes the real system attitude dynamics and the simulation of the position dynamics to model the complete flight based on real-time reactions of the vehicle. For the authors' case study, a hexacopter angular motion provides the real-time attitude data in translational motion simulation loop. To test the set-up, a proportional-integral-derivative (PID) and a brain emotional learning-based intelligent controller (BELBIC) is implemented for tracking of circle and 8-shape flight trajectories.FindingsThe results show that the platform helps the intelligent controller to learn the system dynamics without worrying about the failure in the early stages of the design and in the real-world flight test. Although the hexacopter translational dynamics is modeled in simulation, the authors still have highly accurate attitude dynamics matching the requirement of the control loop design. The comparison of the two controllers also shows that the performance of BELBIC is better than PID in this test.Originality/valueThe research background is reviewed in the introduction section. The other sections are originally developed in this paper.
Investors’ financial aspirations excite investment decisions: current income, future inheritance expectations, and short-term and long-term decisions—The Matthew Effect in Pakistan’s emerging markets
Authors: Chaudary Samra , Zafar Sohail , Tang Thomas Li-Ping 
Published: October 2022

PurposeFollowing behavioral finance and monetary wisdom, the authors theorize: Decision-makers (investors) adopt deep-rooted personal values (the love-of-money attitudes/avaricious financial aspirations) as a lens to frame critical concerns (short-term and long-term investment decisions) in the immediate-proximal (current income) and distal-omnibus (future inheritance) contexts to maximize expected utility and ultimate serenity across context, people and time.Design/methodology/approachThe authors collected data from 277 active equity traders (professional money managers and individual investors) in Pakistan’s two most robust investment hubs—Karachi and Lahore. The authors measured their love-of-money attitude (avaricious monetary aspirations), short-term and long-term investment decisions and demographic variables and collected data during Pakistan's bear markets (Pakistan Stock Exchange, PSX-100).FindingsInvestors’ love of money relates to short-term and long-term decisions. However, these relationships are significant for money managers but non-significant for individual investors. Further, investors’ current income moderates this relationship for short-term investment decisions but not long-term decisions. The intensity of the aspirations-to-short-term investment relationship is much higher for investors with low-income levels than those with average and high-income levels. Future inheritance moderates the relationships between aspirations and short-term and long-term decisions. Regardless of their love-of-money orientations, investors with future inheritance have higher magnitudes of short-term and long-term investments than those without future inheritance. The intensity of the aspirations-to-investments relationship is more potent for investors without future inheritance than those with inheritance. Investors with low avaricious monetary aspirations and without inheritance expectations show the lowest short-term and long-term investment decisions. Investors' current income and future inheritance moderate the relationships between their love of money attitude and short-term and long-term decisions differently in Pakistan's bear markets.Practical implicationsThe authors help investors make financial decisions and help financial institutions, asset management companies, brokerage houses and investment banks identify marketing strategies and investor segmentation and provide individualized services.Originality/valueProfessional money managers have a stronger short-term orientation than individual investors. Lack of wealth (current income and future inheritance) motivates greedy investors to take more risks and become more vulnerable than non-greedy ones—investors’ financial resources and wealth matter. The Matthew Effect in investment decisions exists in Pakistan’s emerging economy.
Institutional distance and cross-border acquisitions into emerging markets: the moderating effect of context experience
Authors: Depperu Donatella , Galavotti Ilaria , Baraldi Federico 
Published: October 2022

PurposeThis study aims to examine the multidimensional nature of institutional distance as a driver of acquisition decisions in emerging markets. Then, this study aims to offer a nuanced perspective on the role of its various formal and informal dimensions by taking into account the potential contingency role played by a firm’s context experience.Design/methodology/approachBuilding on institutional economics and organizational institutionalism, this study explores the heterogeneity of institutional distance and its effects on the decision to enter emerging versus advanced markets through cross-border acquisitions. Thus, institutional distance is disentangled into its formal and informal dimensions, the former being captured by regulatory efficiency, country governance and financial development. Furthermore, our framework examines the moderating effect of an acquiring firm’s experience in institutionally similar environments, defined as context experience. The hypotheses are analyzed on a sample of 496 cross-border acquisitions by Italian companies in 41 countries from 2008 to 2018.FindingsFindings indicate that at an increasing distance in terms of regulatory efficiency and financial development, acquiring firms are less likely to enter emerging markets, while informal institutional distance is positively associated with such acquisitions. Context experience mitigates the negative effect of formal distance and enhances the positive effect of informal distance.Originality/valueThis study contributes to institutional distance literature in multiple ways. First, by bridging institutional economics and organizational institutionalism and second, by examining the heterogeneity of formal and informal dimensions of distance, this study offers a finer-grained perspective on how institutional distance affects acquisition decisions. Finally, it offers a contingency perspective on the role of context experience.
Locally produced food for restaurants: a theoretical approach for the supply chain network design
Authors: Paciarotti Claudia , Mazzuto Giovanni , Torregiani Francesco , Fikar Christian 
Published: October 2022

PurposeThis paper evaluates the feasibility and benefits of a local food distribution system, which connects farmers and restaurant owners from a logistics perspective. This paper considers a platform to improve operations and investigates various schemes for delivering locally produced food to restaurants using a food hub.Design/methodology/approachTo compare distribution scenarios and derive managerial implications, a simulation model has been developed and executed in Matlab 2019a©. The model evaluates various settings of business connections between farmers and restaurateurs.FindingsResults of computational experiments highlight great potentials of such a system, particularly to reduce travel distances. To obtain these positive externalities, the local system requires specific attention during the design of logistical aspects and needs to be planned following a specific structure.Practical implicationsThe developed simulation model can be used to improve understanding of related short food supply chains by analyzing specific cases where the main actors involved differ in terms of type, number, and location.Originality/valueThe paper analyzes the feasibility and the effects of a new distribution system that can connect supply chain actors directly. The analyses focus on logistics aspects, a topic that is often neglected in sustainable consumption research. Furthermore, the paper does not focus of a single case study but develops a customizable model to be used in various settings.