bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bracing up for financial inclusivity: the CabDost way
Authors: Avanesh Neetha Mary , Zachariah Minu 
Published: May 2023

Learning outcomes
The learning outcomes of this study are as follows:
1. understand the role of financial inclusivity in the sustainable development of a nation;
2. examine the concept of social entrepreneurship and identify the skills needed to be a social entrepreneur;
3. analyze the opportunities and challenges faced by social entrepreneurs, especially in an emerging economy; and
4. assess the feasible options with respect to upscaling and expansion.

Case overview/synopsis
Yamuna Sastry, a young woman from a traditional Indian family, had set out to achieve her dream of financial inclusivity by helping the underprivileged in her country gain financial independence and credibility. When she was approached by a cab driver to file tax returns for him, a new venture took shape in her mind, and along with a partner, CabDost, a socially driven financial advisory start-up was created to provide financial advisory services exclusively for cab drivers. CabDost had been instrumental in making over 15,000 cab drivers financially literate, instilling in them a culture of compliance, getting them tax refunds and enabling the Indian Government recover eight crores in taxes. The success of financial inclusivity among cab drivers inspired CabDost to extend its financial services to truck drivers, auto drivers, housekeeping staff and other contractual workforce. The company found it challenging to address the demands of the increasing customer base with its available technical resources. The absence of an in-house tech team and the need for an all-in-one tech platform to provide a wide variety of financial services induced CabDost to explore other options. Dvara Money, a neo bank offering financial services, approached CabDost with a merger proposal. Though it was a lucrative offer, the founding members were apprehensive as they knew that most of the mergers failed because of myriad reasons. They were contemplating on their next move as they were in a dilemma about whether to develop a technical team in-house or to go ahead with the merger.

Complexity academic level
The case can be taught to business management students as a part of the introductory course on entrepreneurship or social entrepreneurship. The case can be used specifically to make the students understand the role of financial inclusivity in the sustainable development of a nation, the concept of social entrepreneurship, the journey of social entrepreneurs in the financial inclusivity space, right from ideation to execution, the challenges faced in the bargain, survival mechanisms adopted and the various options available for further growth and expansion.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 3: Entrepreneurship.
Mapping the concept of online purchase experience: a review and bibliometric analysis
Authors: Anas Mohammad , Khan Mohammed Naved , Uddin S.M. Fatah 
Published: May 2023

Purpose
Modern businesses strategically focus on improving the online purchase experience (OPE) of customers to acquire a long-term competitive edge. However, the intellectual knowledge structure of OPE research remains uncharted, necessitating further investigation. This study aims to provide a concise synthesis of the evolution, trends and advancements of consumers’ OPE research using bibliometrics.

Design/methodology/approach
Firstly, the authors inventorised the relevant OPE literature, and then the bibliometric trends and the domain’s performance (top articles, outlets and authors) were analysed and illustrated through tables and narratives. Secondly, science mapping tools (such as co-occurrence) and visualisation strategy were deployed to pinpoint relevant OPE research themes and highlight the domain’s intellectual structure.

Findings
The most significant findings concern the most prolific authors, outlets, most cited articles and five thematic clusters forming the ground for potential future research paths. Also, these thematic clusters depicted the intellectual knowledge structure that emerged from the OPE research domain.

Research limitations/implications
This review may be helpful for future academic researchers to identify future research paths in the domain and practitioners to help make policy decisions while formulating and articulating their marketing strategy.

Originality/value
Deploying the VOSviewer and Bibliometrix-R software together, this review is most likely the first attempt to the best of the authors’ knowledge to provide a thorough bibliometric synthesis of the OPE research domain.
Terrorism and economic governance in Africa: analysis of the impact of Boko-Haram on banking administration in Nigeria
Authors: Adinoyi Julius Adavize , Ouma Martin , Nzau Mumo 
Published: May 2023

Purpose
Using system theory, this paper aims to interrogate the impact of Boko-Haram on bank administration. The paper explains how death, injury and property destruction caused by terrorism affect banking supervision and structures.

Design/methodology/approach
With the aid of a mixed research method, this paper conducted 47 interviews. It extracted secondary data from the Central Bank of Nigeria database, the National Deposit Insurance Corporation publications, Enhancing Financial Innovation and Access Survey, the World Bank database and the Global Terrorism Index. Descriptive, content and regression analysis was used in this research.

Findings
With a significant regression model (p-value < 0.05), the analysis shows that terrorism accounts for 84.02% variation in banking administration. The impact of Boko-Haram on banking administration is negatively significant, especially in the areas like on-site supervision of Money Deposit Banks/Micro-finance Institutions and citizens’ accessibility to financial systems.

Originality/value
This paper generates new knowledge in the thematic area, which is still grey. The influence of terrorism on financial institutions as an element of economic governance is less researched. Hence, the strategic linkage of the impact of Boko-Haram on banking administration as a component of financial institutions. Therefore, this paper contributes to the existing body of literature on terrorism and economic governance.
Engaging new ways of work: the relevance of flexibility and digital tools in a post-COVID-19 era
Authors: Zapata Laura , Ibarra Gerardo , Blancher Pierre-Henri 
Published: May 2023

PurposeNew ways of working have rapidly increased in organizations, promising employees a better control over their work time, space, and more autonomy. The present study analyzes the relationship between new ways of working and employee engagement and productivity.Design/methodology/approachA survey was conducted to evaluate organizational practices developed based on flexible schemes and the relevance of employee engagement for better productivity based on digital tools. Data were analyzed using structural equation modeling.FindingsNew ways of work requires an integration of workspaces' design, social interaction, and individual wellness. Organizations need to recognize how employees' trust, commitment, and passion are fundamental to face current and future changes. Flexibility in time and space and digital tools for work are critical.Practical implicationsA personalization of organizational practices to support individual well-being and flexible and hybrid schemes of work are needed. Developing policies collaboratively to work together respectfully in a hybrid environment is necessary.Social implicationsHybrid work format is allowing women to balance career and childcare, reducing the wage gap with men. The green imperative has also played a role reducing the amount of carbon monoxide produced via commuter.Originality/valueThe present study exposes how organizational practices must ensure employee well-being and autonomy to perform their tasks. In this regard, employees need to be recognized as individuals, physically and mentally. Attempting to force a one-size-fit-all solution can have detrimental effects on the workforce, particularly on women, people of lower socioeconomic status, and people in less advanced economies. Personalization requests empowerment and democratization at work.
ChatGPT: high-tech plagiarism awaits academic publishing green light. Non-fungible token (NFT) can be a way out
Authors: Mohammadzadeh Zahra , Ausloos Marcel , Saeidnia Hamid Reza 
Published: May 2023

Purpose
ChatGPT from OpenAI is an amazing example of machine learning technology. This technology has now become an important issue for high-tech plagiarism concern. Indeed, there are many concerns about using this tool, perhaps using other technologies to make ChatGPT safer. Non-fungible tokens (NFTs) may be a way out. This paper aims to discuss such an alternative.

Design/methodology/approach
To preventing with high-tech plagiarism created by the ChatGPT tool two ways can help schools, universities and scientific centers to prevent academic plagiarism: first, by banning ChatGPT and adjusting teaching styles, and second, by using detecting AI-produced content. In this viewpoint, the authors suggest a third way that can be a way out.

Findings
NFTs technology has the ability to add a non-fungibility feature to any digital object (image, text or video). Therefore, any text produced by artificial intelligence tools can be given a specific NFT code. With this work, the authors add a feature to texts produced by artificial intelligence, that is, the non-fungibility feature.

Originality/value
In this viewpoint, how and why NFTs may be a usefully added value in preventing acts of high-tech plagiarism on ChatGPT is discussed.
Understanding the psychology of workplace bullies: the impact of Dark Tetrad and how to mitigate it
Authors: Khan Hira Salah ud din , Cristofaro Matteo , Chughtai Muhammad Salman , Baiocco Silvia 
Published: May 2023

Purpose
How do dark personality traits impact workplace bullying (WB)? How can organizations mitigate it? This study aims to explore the relationship between the Dark Tetrad (DT) (narcissism, psychopathy [PY], Machiavellianism and sadism [SM]) and WB, proposing the mediation role of moral disengagement (MD) and the moderation role of emotional stability (ES).

Design/methodology/approach
The proposed mediated-moderation model was tested on 404 employees working in the hospitality sector in Pakistan. Data have been analyzed through regression analysis and PROCESS macros to test the study’s hypotheses.

Findings
PY, Machiavellianism and SM positively relate to WB and MD mediates this relationship. A high level of ES reduces the intensity of the mediated influence of PY, Machiavellianism and SM on WB.

Practical implications
Developing targeted policies and practices (e.g. personality tests to build a good psychological architecture of the firm) and reviewing processes that support the moral justification of antisocial conduct can be beneficial for limiting WB. In addition, meditation, mindfulness training and supporting trust and cooperation within organizations can increase the mitigating effect of ES and, in turn, reduce WB.

Originality/value
To the best of the authors’ knowledge, this is the first study that explicitly verifies a mediated-moderation model on DT-WB while proposing a further explanation (i.e. mediation of MD) and a novel solution (i.e., moderation by ES).
Personal interest, supervisory and research community support and dropout intentions among Finnish PhD candidates
Authors: Cornér Solveig , Tikkanen Lotta , Anttila Henrika , Pyhältö Kirsi 
Published: May 2023

Purpose
This study aims to advance the understanding on individual variations in PhD candidates’ personal interest in their doctorate and supervisory and research community support, and several individual and structural attributes potentially having an impact on the profiles.

Design/methodology/approach
The authors explored the interrelationship between personal interest – social support profiles, and nationality, gender, research group and study status and the risk of dropping out. A total of 768 PhD candidates from a research-intensive university in Finland responded to a modified version of the cross-cultural doctoral experience survey. Latent profile analysis was used to explore the individual variations in PhD candidates’ interest and support from the supervisor and research community.

Findings
Three distinctive PhD interest-social support profiles were detected; the high interest–high support profile (74.4%, n = 570), the high interest–moderate support profile (18.2%, n = 140) and the moderate interest–moderate support profile (7.4%, n = 56). The profiles exhibited high to moderate levels of research, development and instrumental interest. Individuals in the high interest–moderate support and in the moderate interest–moderate support profiles were more prone to consider dropping out from their PhD than in the high interest–high support profile.

Originality/value
The results indicate that by cultivating PhD candidates’ interest and providing sufficient supervisory and the research community offers a means for preventing candidates from discontinuing their doctorate. Hence, building a supportive learning environment that cultivates a PhD candidate’s personal interest is likely to reduce high dropout rates among the candidates.
Assessment of pedestrian-vehicular interaction at un-signalized intersections to measure the delay caused by crossing pedestrian on platoon vehicles
Authors: AlKheder Sharaf , Alkandari Ahmad , Aladwani Bader , Alkhamees Wasan 
Published: May 2023

Purpose
This study aims to validate a model for estimating platoon delay due to pedestrian crossing for use in Kuwait City.

Design/methodology/approach
The model was modified slightly for the scenario used in Kuwait, in which the presence of raised crosswalk meant that all incoming traffic would slow down automatically. Using video footage to observe the site, several variables were collected, and a model was used to calculate the delays suffered by the vehicles because of pedestrian crossing. The model was validated using the actual footage and manual observation to measure the delays.

Findings
The model showed a good match fit to the observed data, as the average delays differed by 22.5% between the two methods. Following the comparison, a sensitivity analysis was made on three variables: the acceleration rate, deceleration rate, as well as the pedestrian walking time. The analysis has shown that deceleration rate has approximately twice the effect on the model than the acceleration rate has. It has also shown that the pedestrian walking time has a major effect on the model, in an almost one-to-one correlation. A 50% change of the pedestrian walking time is associated with approximately 50% change in the model’s output delay.

Originality/value
A model for estimating platoon delay because of pedestrian crossing was validated for use in Kuwait City. The model was modified slightly for the scenario used in Kuwait, in which the presence of raised crosswalk meant that all incoming traffic would slow down automatically.
Reflow profiling with the aid of machine learning models
Authors: Lai Yangyang , Park Seungbae 
Published: May 2023

Purpose
This paper aims to propose a method to quickly set the heating zone temperatures and conveyor speed of the reflow oven. This novel approach intensely eases the trial and error in reflow profiling and is especially helpful when reflowing thick printed circuit boards (PCBs) with bulky components. Machine learning (ML) models can reduce the time required for profiling from at least half a day of trial and error to just 1 h.

Design/methodology/approach
A highly compact computational fluid dynamics (CFD) model was used to simulate the reflow process, exhibiting an error rate of less than 1.5%. Validated models were used to generate data for training regression models. By leveraging a set of experiment results, the unknown input factors (i.e. the heat capacities of the bulkiest component and PCB) can be determined inversely. The trained Gaussian process regression models are then used to perform virtual reflow optimization while allowing a 4°C tolerance for peak temperatures. Upon ensuring that the profiles are inside the safe zone, the corresponding reflow recipes can be implemented to set up the reflow oven.

Findings
ML algorithms can be used to interpolate sparse data and provide speedy responses to simulate the reflow profile. This proposed approach can effectively address optimization problems involving multiple factors.

Practical implications
The methodology used in this study can considerably reduce labor costs and time consumption associated with reflow profiling, which presently relies heavily on individual experience and skill. With the user interface and regression models used in this approach, reflow profiles can be swiftly simulated, facilitating iterative experiments and numerical modeling with great effectiveness. Smart reflow profiling has the potential to enhance quality control and increase throughput.

Originality/value
In this study, the employment of the ultimate compact CFD model eliminates the constraint of components’ configuration, as effective heat capacities are able to determine the temperature profiles of the component and PCB. The temperature profiles generated by the regression models are time-sequenced and in the same format as the CFD results. This approach considerably reduces the cost associated with training data, which is often a major challenge in the development of ML models.
Intensive specialised multi‐family therapy for multi‐stressed families: Therapeutic alliance as predictor for effectiveness
Authors: van Beek Yolanda , Hessen David , Levelt Lisa , Beijer Daniëla , Rijnberk Corine , Maras Athanasios , Overbeek Mathilde M. 
Published: May 2023

AbstractThe effectiveness of intense specialised multi‐family therapy (ISMFT) for 111 multi‐stressed families, and the therapeutic alliance as a possible predictor of outcome, were examined. A repeated measures design was used, where changes in all ISMFT phases (preparation, multi‐family therapy and follow‐up) were assessed and compared for both mothers and fathers. Evidence was found for improved family functioning after the therapy period, which was maintained at 3 months follow‐up, although the multi‐stressed families still functioned in the problematic range. The therapy did however not decrease parenting stress, or did so only temporarily. Observations of the therapeutic alliance with the System for Observing Family Therapy Alliances (SOFTA) scales indicated that high therapist engagement was related to positive therapy outcomes, both at the start of therapy and later. High family engagement also predicted therapy effectiveness, but only at the start of therapy. The present study shows that solution‐focused multi‐family therapy at least seems to provide the first step in alleviating problems in multi‐stressed families.
Why some hotels get it right and others don't: Perspective of situational crisis communication theory towards crisis response strategies
Authors: Chaskar Amrita , Upadhyay Shalini 
Published: May 2023

AbstractAs the victims of the COVID‐19 pandemic, hotels depend on effective crisis leadership to respond to the crisis. Despite its significance, limited studies have accentuated the role of crisis leadership in an organization's intention to engage in effective crisis response. To fill this gap, this study examines the hotels' crisis responses in a Victim crisis cluster based on the intention to respond using Situational Crisis Communication Theory (SCCT). The findings reveal Denial along with Bolstering strategies to be prominent. The findings offer theoretical and practical implications to tourism and hospitality research by illustrating the role of crisis leadership for an effective crisis response during an unprecedented crisis, especially during the victim type crisis.
Geoforensic search to crime scene: Remote sensing, geophysics, and dogs
Authors: Ruffell Alastair , Rocke Benjamin , Powell Neil 
Published: May 2023

AbstractIn the absence of surface indications of burial sites, law enforcement or humanitarian organizations are faced with the difficult task of focusing large‐scale ground searches to a manageable excavation area. A geoforensic‐based survey may exclude parts of the landscape for reasons such as diggability or viewshed analysis but leave areas still too large for invasive exploration. This work examines how drone‐based remote sensing, geophysics, and search dogs may be combined to narrow such searches. Here, we ask the reader to consider two examples where forensic geomorphology and land use provided a range of possible burial locations. Following this is a multi‐proxy approach to similar dilemma, with a search‐to‐scene case study using remote sensing (drone photography), geophysics, ground probes, and search dogs. This approach is not presented as a definitive guide, but serves as an example of the conjunctive use of well‐studied methods to approach a common problem in geoforensics.
Effect of various pretreatments of potato on the cooking and texture properties of the developed potato–rice noodle
Authors: Shi Congzhen , Wei Zhencheng , Zhang Yan , Deng Yuanyuan , Liu Guang , Li Ping , Zhao Zhihao , Zhou Pengfei , Luo Lijuan , Luo Leyi , Tang Xiaojun , Zhang Mingwei 
Published: May 2023

AbstractIn order to ascertain optimal potato pretreatment strategy for potato–rice noodle processing, the effect of partial substitution of rice flour with potatoes processed by various pretreatment on rice noodle quality was determined. In this study, raw potato flour (RPF), cooked potato flour (CPF), potato pulp (PP), mashed potato (MP), and rice flour (RF) were prepared. The physicochemical and pasting properties of RF sample, RPF + RF, PP + RF, CPF + RF, and MP + RF blends were investigated relative to their noodle quality. The results indicated that compared to RF, CPF + RF, and MP + RF blends, RPF + RF and PP + RF blends exhibited a lower degree of starch damage, solubility, and breakdown viscosity, as well as higher relative crystallinity, final, and setback viscosity, which are favorable to quality of noodles. Therefore, the noodles made from RPF + RF and PP + RF showed the most desirable cooking quality and texture. In summary, high damaged starch content and excessive amylose content were detrimental to noodle making. Consequently, our research revealed that RPF/pulp (ungelatinized potato materials) blended with rice flour can be employed to produce decent potato–rice noodles.Practical ApplicationCooked potato flour is main processing method of commercial potato flour and widely used in potato staple food industry. However, the results of our study show that raw potato flour and potato pulp are more suitable for processing of potato–rice noodle than cooked potato flour and mashed potato and can significantly improve the quality of rice noodle. This provides new ideas and insights for the preprocessing of raw potato in the potato staple food industry and the quality improvement of rice noodle.Highlights
The physicochemical properties of potatoes changed with various pretreatments.
Excessive amylose content and starch damage were detrimental to noodle making.
Partial substitution of rice flour with raw potato flour/pulp improved rice noodle quality.
Raw and ungelatinized potato material is preferable for potato–rice noodle making.