bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prioritising enabling factors of Internet of things (IoT) adoption in digital supply chain
Authors: Samaranayake Premaratne , Laosirihongthong Tritos , Adebanjo Dotun , Boon-itt Sakun 
Published: August 2022

PurposeThis paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.Design/methodology/approachAnalytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.FindingsThe results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.Practical implicationsSupply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.Originality/valueThis research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.
Supply chain planning and innovation performance: the moderated mediation effect of IT usage
Authors: Liu Yutong , Kang Mingu , Kang Tae-Won , Du Jian 
Published: August 2022

PurposeThe study aims to figure out the impact of supply chain planning (SCP) on innovation performance (IP), the mediating role of agreement on supply chain vision and goals (ASCVG), and the moderated effect of information technology (IT) use with buyers and suppliers.Design/methodology/approachBased on 265 pieces of data collected from global manufacturing companies, the authors tested the proposed hypothesis through regression analyses. Meanwhile, the plug-in of statistical software SPSS, PROCESS (Model 4 and 14) was used to examine the mediation and moderated mediation models.FindingsThe results reveal that ASCVG partially mediates the effect of SCP on IP. Furthermore, the indirect influence of SCP on IP is stronger when the extent of IT use with buyers is higher, while this indirect effect is not moderated by IT use with suppliers.Originality/valueIn this study, the authors investigated the combined effect of SCP, ASCVG, and IT use with external partners on IP, which provides theoretical and practical insights into the ways that manufacturing firms effectively use the SCP, ASCVG and IT use with external partners to heighten IP.
Understanding international users' library experience in the Digital Age – joining the behavioral and experiential aspects
Authors: Fu Yaming , Lomas Elizabeth , Inskip Charles , Bunn Jenny 
Published: August 2022

PurposeThe purpose of this paper is to describe, analyze and understand international users' library experience in the Digital Age in order to inform library service design and ensure it provides an inclusive environment. In this study, the behavioral and experiential aspects of user library experience are merged to develop essential interconnections between information behavior (IB) and user experience (UX) in the context of the academic library with the goal of constructing a more holistic understanding of ‘library experience.Design/methodology/approachThe study was built on the concept “library experience” through analyzing its essential components of IB and UX. It was developed through findings from mixed methods research, consisting of the quantitative investigation from a library log analysis, and qualitative investigations via cognitive mapping exercises and semi-structured interviews, both targeted on the largest single group of international students in United Kingdom – international Chinese students.FindingsThe findings demonstrated the complexity and multilayered characteristics of international Chinese students' library context, and three unique contexts emerged from the data shaping their library experience. Building on the previous findings on the connections between IB and UX, the work attempted to redefine “library experience” by joining both behavioral and experiential aspects. It is found that the key components of cultural library experience are the multilayered context, cultural group's perception needs, sense-making process and subjective evaluations.Originality/valueThis study joins the behavioral and experiential perspectives together to explore library experience in a more holistic way and proposes a systematic structure to understand and analyze library experience, especially that of international users in a cross-cultural context, which, in turn, will better serve their information needs and inform the design of a more equal and inclusive library system.
Harmonizing multi-dimensional events that characterize tech start-up emergence in emerging economies: a systematic review
Authors: Ajah Emmanuel Okoro , Ononiwu Chidi , Nche Charles 
Published: August 2022

PurposeIn pursuit of socio-economic growth, scholars and policymakers in emerging economies continues to show interest in understanding technology-based start-up (i.e. tech start-up) emergence, to help mitigate persistent failure experienced during commercialization. Howbeit, some scholars lamented that extant studies that investigated tech start-up emergence are mostly fragmented, because they focus on specific event/sub-process in tech start-up gestation. Thus, this study aims to conduct a systematic literature review to discover, harmonize and develop a framework that describes the interaction among varying dimensions of events/sub-processes that characterizes tech start-up emergence in an emerging economy.Design/methodology/approachTo conduct this study, the authors engaged a concept-centric systematic literature review. Having developed a search protocol, the authors searched through information systems database, and other relevant discipline databases, to select relevant articles for review.FindingsThe systematic review revealed various dimensions of events (i.e. opportunity discovery and selection, team formation and domain consensus, bootstrapping and the development of minimum viable product and market experimentation feedback) that are critical to tech start-up emergence. Most prior studies are isolated, as they focus their investigation on specific event. Thus, from this review, the authors developed a framework harmonizing various dimensions of events characterizing emergence of a viable tech start-up.Originality/valueThe researchers conducted this study in response to lingering call for harmonized study that provides in-depth description of how different dimensions of events interact and characterize tech start-up emergence. Consequently, the study resulted in a descriptive framework. Furthermore, the findings highlight some practical implications and proposes new study directions as future research agenda for scholars interested in tech start-up emergence.
Exploring the application of analytics in supply chain during COVID-19 pandemic: a review and future research agenda
Authors: Shrivastav Santosh Kumar 
Published: August 2022

Purpose
This study aims to comprehend the application of analytics in the supply chain during the ongoing COVID-19 crisis and identify the emerging themes.

Design/methodology/approach
The author downloaded a list of research articles on the application of analytics to the supply chain from SCOPUS, conducted a systematic literature review for exploratory analysis and proposed a framework. Notably, the author used the topic modeling technique to identify research themes published during the ongoing COVID-19 crisis and thereby underscore some future research directions.

Findings
The author found that artificial intelligence, machine learning, internet of thing and blockchain are trending topics. Additionally, the author identified five themes by topic modeling, including the theme “Social Media information in Supply chain.”

Research limitations/implications
The results were derived from a data set extracted from SCOPUS. Thus, the author excluded all studies not listed in SCOPUS from the analysis. Future research with articles indexed in other databases should be investigated to get a more holistic perspective of specific themes.

Practical implications
This study provides a deeper understanding and proposes a framework for applications of analytics in the supply chain that researchers could use for future research and industry practitioners to implement in their organizations to make a more sustainable and resilient supply chain.

Originality/value
This study provides exploratory information from published articles on the use of analytics in the supply chain during the COVID-19 crisis and generates themes that help understand the emerging and underpinned area of research.
Pro-environmental purchase intentions in a low-involvement context: the role of myopia and apathy
Authors: Coşkun Ayşen , Polonsky Michael , Vocino Andrea 
Published: August 2022

Purpose
To achieve the UN’s 2030 agenda, consumers will need to behave more responsibly and make less environmentally harmful purchases. This study aims to investigate the antecedents of consumers’ pro-environmental purchase intentions based on a range of motivating (i.e. attitudes, locus of control) and inhibiting factors (i.e. apathy and myopia) for a low-involvement product. It also tests the moderating effect of the greenness of a low-involvement product (green vs nongreen) on the consumer’s pro-environmental purchase intentions.

Design/methodology/approach
An online panel survey of 679 Turkish consumers was used. Structural equation modeling was used to test the hypothesized relationships.

Findings
The results suggest that while inhibiting factors (i.e. apathy and myopia) may not directly impede such purchase intentions, they could prevent consumers from considering the environmental characteristics of low-involvement products.

Practical implications
The insights are expected to assist marketers and policymakers to understand consumer psychological mechanisms when encouraging and promoting pro-environmental behavior in the context of low-involvement purchases, enhancing consumers contributing to the 2030 objectives.

Originality/value
This study examines the role of inhibiting factors behind the purchase of low-involvement goods. It also tests the moderating effect of the greenness of a low-involvement product on pro-environmental purchase intentions.
Objectives of Islamic banking, customer satisfaction and customer loyalty: empirical evidence from South Africa
Authors: Moosa Riyad , Kashiramka Smita 
Published: August 2022

Purpose
This study aims to explore the relationship between the objectives of Islamic banking, customer satisfaction and customer loyalty in the South African context. Diving deep, this study also explores the relationship between customer satisfaction and customer loyalty.

Design/methodology/approach
Purposive and snowball sampling techniques were used, resulting in 163 respondents participating in this study. The data was collected using an online survey and analysed using a structural equation model based on the partial least squares method.

Findings
The results indicate that the construct related to the objectives of Islamic banking influences both customer satisfaction and customer loyalty. In addition, customer satisfaction is also found to influence a customer’s loyalty to the Islamic bank.

Originality/value
In South Africa, to the best of the authors’ knowledge, this study is the first of its kind; thus, the results provide context-specific insights into the extant literature on Islamic banking for Muslims residing in a non-Muslim majority country.
Does capital flight undermine growth: a case study of Pakistan
Authors: Bashir Malik Fahim , Khan Taimur , Bin Tariq Yasir , Akram Muhammad 
Published: August 2022

Purpose
This study aims to estimate the magnitude of capital flight from Pakistan. Furthermore, it analyzes the impact of capital flight on the economic growth of Pakistan in the short and long run.

Design/methodology/approach
This study uses the World Bank’s residual method to estimate the magnitude of capital flight from Pakistan during 1976–2018. This study used the autoregressive distributed lag (ARDL) approach to estimate the effect of capital flight on the economic growth of Pakistan.

Findings
ARDL results revealed a negative and statistically significant relationship between different measures of capital flight and economic growth in the long run. However, this relationship is not statistically significant in the short run. After correction for external borrowing and trade misinvoicing, this study finds that the total capital flight from Pakistan during the study period amounted to US$333bn (in 2010 dollars). With accrued interest earnings, the stock of capital amounted to US$124,768bn, significantly higher than the accumulated stock of long-term debt, which amounted to US$1,231bn during the study period indicating that Pakistan faces a severe challenge of capital flight.

Originality/value
This study calculates the magnitude of capital flight from Pakistan for the first time. Furthermore, this study also calculates the magnitude of capital flight for military and democratic regimes. This study suggests many policy proposals to deal with the challenge of capital flight.
Transferring artificial intelligence practices between collaborative robotics and autonomous driving
Authors: Zorman Milan , Žlahtič Bojan , Stradovnik Saša , Hace Aleš 
Published: August 2022

PurposeCollaborative robotics and autonomous driving are fairly new disciplines, still with a long way to go to achieve goals, set by the research community, manufacturers and users. For technologies like collaborative robotics and autonomous driving, which focus on closing the gap between humans and machines, the physical, psychological and emotional needs of human individuals becoming increasingly important in order to ensure effective and safe human–machine interaction. The authors' goal was to conceptualize ways to combine experience from both fields and transfer artificial intelligence knowledge from one to another. By identifying transferable meta-knowledge, the authors will increase quality of artificial intelligence applications and raise safety and contextual awareness for users and environment in both fields.Design/methodology/approachFirst, the authors presented autonomous driving and collaborative robotics and autonomous driving and collaborative robotics' connection to artificial intelligence. The authors continued with advantages and challenges of both fields and identified potential topics for transferrable practices. Topics were divided into three time slots according to expected research timeline.FindingsThe identified research opportunities seem manageable in the presented timeline. The authors' expectation was that autonomous driving and collaborative robotics will start moving closer in the following years and even merging in some areas like driverless and humanless transport and logistics.Originality/valueThe authors' findings confirm the latest trends in autonomous driving and collaborative robotics and expand them into new research and collaboration opportunities for the next few years. The authors' research proposal focuses on those that should have the most positive impact to safety, complement, optimize and evolve human capabilities and increase productivity in line with social expectations. Transferring meta-knowledge between fields will increase progress and, in some cases, cut some shortcuts in achieving the aforementioned goals.
Covid-19 impact on Latin and Asian stock markets
Authors: Abdelkafi Ines , Ben Romdhane Youssra , Loukil Sahar , Zaarour Fatma 
Published: August 2022

PurposeThe purpose of this paper is to investigate the dynamic relationship between 19 pandemic and government actions, such as governmental response index and economic support packages.Design/methodology/approachThe authors use a panel dataset of 10 American and Latin countries for the period spanning from January 2020 to April 2021 to analyze the effect of government actions on stock market returns. The authors provide robust test results that improve the understanding of the impact of the pandemic on stock market indices through the break-up structure method and the new measure of Covid-19 extracted from Narayan et al. (2021) study.FindingsEmpirical results show the harmful effect of the corona virus on stock prices, hence the risk adverse behavior of investors. On the other hand, the quantitative approach reveals that the positive impact of government actions is degraded during Covid-19.Originality/valueThis article highlight that government actions may be effective in reducing new infections but could generate perverse economic impact through increasing uncertainty. The authors conclude that the adjustment of macroeconomic factors and the integration of financial news improve the forecasting performance of the model based on health news.
Synthesis and properties of a new halogen-free flame-retardant epoxy resin flame retardant
Authors: Wu Yushuang , Long Jiapeng , Liang Bing , Yanan Yan 
Published: August 2022

Purpose
This paper aims to study a new halogen-free fame-retardant curing agent 1-aminoethylidenediphosphonate (AAEDP).

Design/methodology/approach
The AAEDP was synthesized by phosphoric acid, acetonitrile and ammonia. The chemical structures of AAEDP were characterized by proton nuclear magnetic resonance, mass spectrometry and Fourier transform infrared spectrometer. Thermal gravimetric analysis (TGA) and scanning electron microscope (SEM) would study the thermal properties and the char residues of AAEDP/EP. The thermal stability, mechanical and flame properties and morphology for the char layer of composite materials were separately investigated using TGA, tensile and charpy impact tests, limiting oxygen index (LOI), UL-94 HB flammability standard (UL-94) and SEM.

Findings
The results showed that the AAEDP had been prepared successfully. When the intumescent flame retardant was added into the EP, the LOI of composite material was improved.

Research limitations/implications
The AAEDP can be prepared successfully and can improve the flame resistance of composite material.

Practical implications
The AAEDP has excellent flame-retardant properties and produce no toxic fumes when burnt in case of fire.

Originality/value
The results showed that the phosphorus content of AAEDP was 2.958 Wt.%; the impact and tensile strength of the composite material were 6.417 kJ m−2 and 38.0 MPa, respectively; and the LOI and UL-94 were 29.7% and V-0 ranking, respectively. The TGA results indicated that the carbon residue ratio can be increased by 1000°C in air. The denser and more uniform structure of residual carbon prevents heat transfer and diffusion, restricts the production of combustible gas and reduces the rate of heat release.
Consumer perceptions and concerns regarding aesthetic attributes of textile-based assistive devices: a qualitative analysis of online retail product reviews
Authors: Nartker Kate , Annett-Hitchcock Kate , Hoque S.M. Azizul 
Published: August 2022

Purpose
The purpose of this paper was to examine consumer perceptions of aesthetic attributes of textile-based assistive devices (ADs) and the language used by consumers to express those perceptions and concerns. Previous investigations of user feedback for ADs have largely focused on functional attributes rather than aesthetics.

Design/methodology/approach
An interpretivist research philosophy was selected to investigate the meaning behind consumer perceptions and to understand their viewpoints on the aesthetic dimensions of ADs. Using product reviews for two ADs sold on Amazon.com as data, the researchers conducted qualitative data analysis through coding and interpretation of meanings behind reviews to determine consumers’ perceptions related to their ADs.

Findings
The authors identified consumer concerns linking to aesthetics evidenced as a multisensory integration of visual, tactile and olfactory cues. Consumer-preferred language used to address aesthetic preferences was found to supplement the literature. Aesthetic considerations were found to be impactful on avoiding stigma and encouraging or discouraging continued use of the devices.

Practical implications
Findings may contribute to the development of textile-based ADs with improved aesthetics to enhance user experiences. New ways of using consumer language to interpret user needs may assist in future research and design practice for consumer products.

Originality/value
The use of consumer product reviews as a rich source of user data is discussed in this paper. As previous research on assistive technology has largely focused on functionality, results of this analysis offer insight into consumers’ aesthetic judgments related to ADs and bring a sensory perspective to the research area.