bluuebunny/crossref_metadata_2025_split huggingface dataset:
Barriers to multi-tier supply chain risk management
Authors: Wang-Mlynek Liyuan , Foerstl Kai 
Published: August 2020

PurposeMulti-tier supply chain risk management (MSCRM) is an evolving and dynamic field, as any defaults or glitches in supply chains can potentially harm the efficiency and competitiveness of the entire supply chain. This study aims to investigate barriers to MSCRM in the automotive and civil aircraft industries.Design/methodology/approachThis study adopts an inductive case study research design. The case analysis includes two parts. First, the within-case analysis develops case profiles and identifies critical categories. Second, the cross-case analysis compares MSCRM patterns across the cases.FindingsThis study argues that narrow information sharing and communication covering only the immediate supply chain partners obstruct the efficiency of MSCRM. Similarly, high dependency on strategic alliances with suppliers hinders efficient MSCRM. Additionally, relying on information and communication technologies (ICT) increases companies' exposure to risks and poses another barrier to efficient MSCRM.Research limitations/implicationsFurther research should be pursued to expand generalizability and test the validity of the findings using other forms of data collection and methodologies, such as large-scale surveys, experiments or secondary data across different sectors and typical supply networks.Practical implicationsThis study provides empirical evidence on the obstacles faced by companies during the process of MSCRM. These findings can guide practitioners in developing initiatives to overcome these challenges.Originality/valueThis study is among the first to investigate the barriers to MSCRM in the automotive and civil aircraft industries using in-depth case studies across three tiers of the supply chain.
SARS n-CoV2-19 detection from chest x-ray images using deep neural networks
Authors: Pandit Mohammad Khalid , Banday Shoaib Amin 
Published: August 2020

Purpose
Novel coronavirus is fast spreading pathogen worldwide and is threatening billions of lives. SARS n-CoV2 is known to affect the lungs of the COVID-19 positive patients. Chest x-rays are the most widely used imaging technique for clinical diagnosis due to fast imaging time and low cost. The purpose of this study is to use deep learning technique for automatic detection of COVID-19 using chest x-rays.

Design/methodology/approach
The authors used a data set containing confirmed COVID-19 positive, common bacterial pneumonia and healthy cases (no infection). A collection of 1,428 x-ray images is used in this study. The authors used a pre-trained VGG-16 model for the classification task. Transfer learning with fine-tuning was used in this study to effectively train the network on a relatively small chest x-ray data set. Initial experiments show that the model achieves promising results and can be greatly used to expedite COVID-19 detection.

Findings
The authors achieved an accuracy of 96% and 92.5% in two and three output class cases, respectively. Based on these findings, the medical community can access using x-ray images as possible diagnostic tool for faster COVID-19 detection to complement the already testing and diagnosis methods.

Originality/value
The proposed method can be used as initial screening which can help health-care professionals to better treat the COVID patients by timely detecting and screening the presence of disease.
Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research
Authors: Chin Wynne , Cheah Jun-Hwa , Liu Yide , Ting Hiram , Lim Xin-Jean , Cham Tat Huei 
Published: August 2020

PurposePartial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To take full advantage of the purpose of causal prediction in PLS-SEM, it is imperative for researchers to comprehend the efficacy of various quality criteria, such as traditional PLS-SEM criteria, model fit, PLSpredict, cross-validated predictive ability test (CVPAT) and model selection criteria.Design/methodology/approachA systematic review was conducted to understand empirical studies employing the use of the causal prediction criteria available for PLS-SEM in the database of Industrial Management and Data Systems (IMDS) and Management Information Systems Quarterly (MISQ). Furthermore, this study discusses the details of each of the procedures for the causal prediction criteria available for PLS-SEM, as well as how these criteria should be interpreted. While the focus of the paper is on demystifying the role of causal prediction modeling in PLS-SEM, the overarching aim is to compare the performance of different quality criteria and to select the appropriate causal-predictive model from a cohort of competing models in the IS field.FindingsThe study found that the traditional PLS-SEM criteria (goodness of fit (GoF) by Tenenhaus, R2 and Q2) and model fit have difficulty determining the appropriate causal-predictive model. In contrast, PLSpredict, CVPAT and model selection criteria (i.e. Bayesian information criterion (BIC), BIC weight, Geweke–Meese criterion (GM), GM weight, HQ and HQC) were found to outperform the traditional criteria in determining the appropriate causal-predictive model, because these criteria provided both in-sample and out-of-sample predictions in PLS-SEM.Originality/valueThis research substantiates the use of the PLSpredict, CVPAT and the model selection criteria (i.e. BIC, BIC weight, GM, GM weight, HQ and HQC). It provides IS researchers and practitioners with the knowledge they need to properly assess, report on and interpret PLS-SEM results when the goal is only causal prediction, thereby contributing to safeguarding the goal of using PLS-SEM in IS studies.
Colonized by the development discourse: life and living heritage in the shadow of antiquities
Authors: Bialostocka Olga 
Published: August 2020

PurposeTangible and intangible aspects of living heritage shape the identity of communities whose daily experience is integrated into heritage cultural spaces. Interference in this intricately woven, historically rich context may have significant sociocultural and material consequences for the people inhabiting it. Using the example of the ancient Theban Necropolis and “modern” Gurna, the paper looks at the loss of contemporary cultural heritage in favor of Pharaonic antiquities to question the model of heritage management and development practiced through violence in Egypt.Design/methodology/approachWritten from a decolonial perspective, the paper is positioned within the post-development school of thought. It applies subjectivist epistemology to argue for pluriversality.FindingsFocusing on the historical context of the community of Gurnawis, the paper highlights power inequalities among heritage stakeholders and discusses the violence of coloniality that challenges the freedom of human experiences and representations.Social implicationsDecolonial in nature, the paper has a futuristic horizon. It calls for decolonization of the discourse of development, which remains marred by the Western understanding of “civilizational advancement” seen as modernization, industrialization and economic growth. It further argues for imagining alternatives to the current social realities, which would account for the diversity of human experiences and consider a pluriverse of meanings.Originality/valueThe paper applies a decolonial perspective to the study of heritage to demonstrate the impact of colonial rationality on the theory and practice of the discipline of archaeology, as well as its consequences for heritage management in Egypt. Speaking from the standpoint of the marginalized population of Gurna, the paper further reveals the damage done by the colonial discourse of development to those who dare to create and live their own reality.
Nursing home leaders' perception of factors influencing the reporting of elder abuse and neglect: a qualitative study
Authors: Myhre Janne , Malmedal Wenche Karin , Saga Susan , Ostaszkiewicz Joan , Nakrem Sigrid 
Published: August 2020

PurposeThe purpose of this study is to explore the factors that influence the reporting of adverse events related to elder abuse and neglect in nursing homes from nursing home leaders' perspectives. Good leadership requires in-depth knowledge of the care and service provided and the ability to identify and address problems that can arise in clinical practice.Design/methodology/approachA qualitative explorative design with data triangulation was used. The sample consisted of 43 participants from two levels of nursing home leadership, representing six municipalities and 21 nursing homes in Norway. Focus group interviews were undertaken with 28 ward leaders and individual interviews with 15 nursing home directors. The constant comparative method was used for the analyses.FindingsBoth ward leaders and nursing home directors described formal and informal ways of obtaining information related to elder abuse and neglect. There were differences between their perceptions of the feasibility of obtaining formal reports about abuse in the nursing home. Three main categories of influencing factors emerged: (1) organisation structural factors, (2) cultural factors and (3) abuse severity factors. A main finding is that in its present form, the Norwegian adverse event reporting system is not designed to detect abuse and neglect.Originality/valueThis paper provides an in-depth understanding of patient safety and factors related to reporting elder abuse in nursing homes in Norway.
Impact of environmental belief and nature-based destination image on ecotourism attitude
Authors: Thi Khanh Chi Nguyen , Phong Le Thai 
Published: August 2020

PurposeThis study examines the direct and indirect impact of environmental belief, nature-based destination image and time perspective on tourist attitude towards ecotourism.Design/methodology/approachData was collected through a structured questionnaire survey conducted in Vietnam. The dataset consists of 479 valid responses by Vietnamese tourists. Correlation analysis and structural equation modeling (SEM) were used to test the causal relationships among time perspective, environmental belief, nature-based destination and ecotourism attitude. Confirmatory factor analysis (CFA) is conducted to verify the reliability and validity of each latent construct, and to evaluate the discriminant validity, convergent validity, composition reliability and average variance extracted (AVE) for the latent constructs.FindingsThis study finds statistically significant and positive effects of time perspective, environmental belief and nature-based destination image on ecotourism attitude. The results also indicate that environmental belief is found to have statistically significant effects both direct and indirect on ecotourism attitude; its indirect effect is transmitted through nature-based destination image. Our findings demonstrate empirically that tourists are mainly attracted by natural environment sites and that tourists having environmental beliefs are likely to engage in ecotourism than other types of tourism by first influencing their attitude.Research limitations/implicationsOne limitation is associated with our measurement method, which relies on respondents’ self-ratings of their activities. Second, our study is based on internal consistency assessments for establishing construct reliability and validity, which might be the problem of measurement misspecification in tourism research and hinder us to adequately capture the dynamic nature of the variables and the underlying relationships. Third, the survey is conducted in one specific ecotourism nation like Vietnam, and thus, the findings must also be explained in this case.Practical implicationsPolicymakers need to pay careful attention to the planning and conservation of local resources, as well as infrastructure, for ecotourism development. Moreover, the management of eco-site needs to maintain ecology properly, provide an authentic ecotourism experience to improve ecotourism destination. Otherwise, ecotourism operators should focus on marketing strategies to increase traditional and natural values and promote eco-friendly social standards for fostering demand.Originality/valueThis study examines an integrated model analyzing the impact of time perspective, environmental belief and nature-based destination on tourist attitude towards ecotourism. This study reveals the understanding of how individuals’ view towards belief in environment and location image, influences their attitude to engage in ecotourism. The study provides several implications for practice.
Case-based reasoning for complexity management in Industry 4.0
Authors: Schott Peter , Lederer Matthias , Eigner Isabella , Bodendorf Freimut 
Published: August 2020

PurposeIncreasingly, dynamic market environments lead to growing complexity in manufacturing and pose a severe threat for the competitiveness of manufacturing companies. Systematic guidance to manage this complexity, especially in the context of Industry 4.0 and the therewith rising trends such as digitalization and data-driven production optimization, is lacking. To address this deficit a case-based reasoning (CBR) system for providing knowledge about managing complexity in Industry 4.0 is presented.Design/methodology/approachFirst, the explicit knowledge representation for managing complexity in IT-based manufacturing is introduced. Second, the CBR process step to retrieve knowledge from an artificially composed case base with in total 70 cases of data-based complexity management in the context of Industry 4.0 is set out. Third, knowledge transfer alongside several maturity levels of information technology capabilities of manufacturing systems for reuse in new problem scenarios is introduced.FindingsThe paper comprises the conceptual approach for designing a CBR system to support data-based complexity management in manufacturing systems. Furthermore, the appropriateness of the CBR system to provide applicable knowledge for reducing and managing complexity in corporate practice is shown.Research limitations/implicationsThe presented research results are evaluated in the course of an embedded single case study and may therefore lack generalizability. Future research to test and enhance the appropriateness of the developed CBR system will strengthen the research contribution.Originality/valueThe paper provides a novel approach to systematically support knowledge transfer for data-based complexity management by transferring the well-known and established methodology of CBR to the rising application domain of manufacturing systems in the context of Industry 4.0.
Addressing the challenges to electric vehicle adoption via sharing economy: an Indian perspective
Authors: Kumar Rupesh , Jha Ajay , Damodaran Akhil , Bangwal Deepak , Dwivedi Ashish 
Published: August 2020

PurposeThe purpose of this study is to investigate the challenges before India for electric vehicle (EV) adoption by 2030. The study further looks into the measures taken by the Government of India (GOI) to promote research and development in EV sector and what is yet to be done.Design/methodology/approachIn the present study, the challenges are identified allied to the commercialization of EVs in India. The data are collected, analyzed and compiled through secondary sources. The secondary data give a concise insight and comprehensive information regarding what is occurring around the globe as well as in the Indian context. Further, the challenges are investigated through a focus group study consisting of 11 participants from industry and academia.FindingsThe findings from the study are the critical roles of sharing economy and public utilities in the promotion of EV adoption, given the high cost of EV, lack of infrastructure and poor purchasing power of Indian customers. The sharing economy perspective provides various opportunities for the government to manage the resources (electric-powered transport system) optimally. Further, the study compares the global perspective in assigning the target figures.Research limitations/implicationsThe study highlights the facilitating role of the shared format in EV technology promotion but ignores the hurdles that can come in its implementations. Also, the focus group study has its limitation as it relies more on participants' perceptions and opinions.Originality/valueThe present study assists GOI and various stakeholders in having a realistic plan rather than daydreaming with overambitious goals. The diffusion of technology as a shared format (especially in the context of EV) has not been academically approached in the past literature.
Gender differences: visual attention and attitude toward advertisements
Authors: Boscolo Juliana Cristina , Oliveira Jorge Henrique Caldeira , Maheshwari Vishwas , Giraldi Janaina de Moura Engracia 
Published: August 2020

PurposeThis study examines the differences between genders in visual attention and attitudes toward different types of advertisements.Design/methodology/approachAn experimental design using a structured questionnaire and six print advertisements with a male, female and neutral focus was used to evaluate gender differences. In total, 180 students from a public university in Brazil participated in the study. An eye-tracking device was employed, using the Tobii Studio software, to get the visual attention metrics for this study.FindingsIn the case of the female advertisements, no significant difference between visual attention and attitude was found; however, differences were found in the case of male visual attention to the image and their relative attitudes toward the advertisements.Research limitations/implicationsBecause it is a laboratory experiment using quota sampling, mainly Latin consumers, the potential for broader generalization may be limited. Besides, since they are real image advertisement images, there may be some interference in the respondents' responses from previous interactions with the brand or product exposed or even from a prior observation of this advertisement.Originality/valueThis study provides deeper insight into Latin consumers' preferences and associations, who have a different cultural and national context. This study contributes to the use of the eye-tracking tool as a neuromarketing technique to evaluate and analyze visual attention.
A text mining-based review of the literature on dynamic capabilities perspective in information systems research
Authors: Talafidaryani Mojtaba 
Published: August 2020

PurposeWhile the dynamic capabilities perspective is the most cited strategic theory in the information systems field of research, little effort has been made to review and integrate the associate literature of this perspective in the field. Accordingly, this paper aims to systematically analyze the information systems literature on dynamic capabilities and provide a holistic understanding of the topical composition and trend of dynamic capabilities studies in information systems research.Design/methodology/approachUsing latent Dirichlet allocation as the text analysis algorithm, the author conducted a topic modeling of the dynamic capabilities corpus in the information systems field of research to quantitatively review, summarize and classify the prior literature. The review covered 191 articles published on dynamic capabilities between 1998 and 2018 in pioneering information systems journals and conference proceedings.FindingsIn accordance with the topic modeling results, the topical composition of the dynamic capabilities corpus in information systems research dominantly includes seven themes titled T1. Information systems value, T2. Information systems change, T3. Digitalization, T4. Information systems agility, T5. Big data, T6. Information systems innovation and T7. Information systems alignment. Also, the overall and topical trend of dynamic capabilities studies in the information systems field of research were revealed. The trends indicated that the investigated domain and its prominent sub-domains have generally had positive productivity over the past years.Originality/valueThe current study contributes to the domain by developing knowledge and improving literature on dynamic capabilities in information systems research, discovering the main topics of interest for information systems researchers to deploying the dynamic capabilities perspective in their studies, and prioritizing the future information systems research on dynamic capabilities based on the identified trends of topics.
Towny: a new business model for a mobile economy
Authors: Self Tyler 
Published: August 2020

Research methodology
This case was developed from interviews the author held with Nathan Baumeister, the protagonist in the case and Towny CEO; Hannah Franzen, a Towny marketing employee discussed in the case; and Mallory Franzen, Hannah’s sister-in-law and the company representative for Boomn, the digital marketing agency discussed in the case. In addition, secondary research on the USA retail industry was performed by the author. The case was class-tested four times by the author, with Hannah Franzen and Mallory Franzen initially visiting as case protagonists. This resulted in the case of refinements based on student discussion.

Case overview/synopsis
Towny: A new business model for a mobile economy shares the context and issues surrounding CEO Nathan Baumeister in the spring of 2018 at Towny, a unique business helping local businesses connect with their consumers over mobile devices. The company began going to market based on the vision of its owner and Nathan’s boss, Don Shafer. It had quickly approached local business clients and consumers in five key markets. The purpose of the case is to allow students the opportunity to discuss key new venture creation concepts and scenarios such as customer value proposition, competitive advantage and digital marketing.

Complexity academic level
This case was developed to be used in an undergraduate course in entrepreneurship. The particular course, new venture finance: the entrepreneur’s perspective, teaches the general subject of entrepreneurial finance through financial models such as free cash flow and valuation, case discussions with entrepreneurs visiting as facilitators and protagonists and business concept planning and forecasting. This case helps train students on how to incorporate online marketing costs into their business concept plans. Relevant courses and topics also include small business management and entrepreneurial financial management.