Jayshree Mamtora and Prashant Pandey
The paper describes how Charles Darwin University (CDU) used a three-pronged approach to better serve its researchers: it developed a single interface for improved accessibility…
Abstract
Purpose
The paper describes how Charles Darwin University (CDU) used a three-pronged approach to better serve its researchers: it developed a single interface for improved accessibility and discoverability of its research outputs, consolidated its corresponding policies and procedures and implemented training programs to support the new portal. This in turn made its suite of research outputs more openly accessible and better discoverable. The intention was to make CDU research compliant with the FAIR (Findable, Accessible, Interoperable and Reusable) policy statement, affirming the need to make Australia's research more visible, thereby enabling better access, better collaboration locally and internationally and researchers more accountable to their community.
Design/methodology/approach
This paper uses case study methodology and a qualitative approach.
Findings
CDU Library collaborated with the University’s Research Office in undertaking a series of strategies towards reframing access to its research. The partners migrated their research collections into a single, new, integrated interface; developed new policies and consolidated existing ones; and to this end, rolled out a training and educational program for the research community. The intention of the program was to introduce the Pure repository to new researchers and to train all staff to self archive and curate their own research outputs. This new streamlined approach ensured a more comprehensive and timely availability and accessibility of the University's research outputs.
Originality/value
A single source of truth was established through the migration of iCDU’s research collections, ensuring data quality was maintained. At the start of this project, there were few institutions in Australia using the Pure system, and even fewer using it as their sole repository for displaying research outputs.
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Praveen Kumar Pandey and Prashant Kumar Pandey
This study investigates the influence of augmented reality (AR) on consumer behavior and decision-making in the context of retail. By developing a conceptual framework that…
Abstract
Purpose
This study investigates the influence of augmented reality (AR) on consumer behavior and decision-making in the context of retail. By developing a conceptual framework that highlights AR’s distinct characteristics and its contribution to the theme of human-centricity and resilience, this research explores the cognitive and affective responses triggered by AR experiences and their subsequent impact on consumer choices.
Design/methodology/approach
The study employs a comprehensive literature review approach, delving into the intricate relationships between AR, consumer behavior and decision-making. Through the exploration of factors such as interactivity, vividness, body image perception, narcissism, information processing preference, privacy concerns and situational surroundings, the study develops a nuanced understanding of the mechanisms underlying AR’s effects.
Findings
The study aligns with the contemporary focus on human-centeredness and resilience in the digital age. It reveals that interactive and vivid AR experiences significantly enhance consumer enjoyment and influence decision-making processes. Furthermore, the study uncovers how individual traits and contextual factors shape consumer responses to AR, shedding light on the broader landscape of consumer behavior.
Research limitations/implications
While acknowledging limitations in generalizability and potential publication bias, this study offers a fresh perspective by accounting for moderating effects and situational contexts. Future research directions might involve longitudinal studies to capture evolving trends in the dynamic realm of AR in retail.
Practical implications
Businesses and marketers have the opportunity to utilize the knowledge acquired from this study to effectively integrate AR technologies into their customer engagement strategies, thereby promoting a customer-centric approach in their operations. The results emphasize the utmost importance of creating AR experiences that align with user preferences and provide meaningful interaction, ultimately leading to the development of sustainable consumer decisions in the digital age.
Originality/value
Distinct from existing literature, this study contributes to the theme of human-centricity and resilience by examining the influence of AR on consumer behavior. This contribution enriches discussions on sustainable consumer choices in the digital era. Employing a comprehensive literature review approach, we explore key factors including interactivity, vividness, body image perception, narcissism, information processing preference, privacy concerns and situational surroundings. This approach deepens our understanding of AR’s influence on consumer behavior, presenting a valuable addition to the field.
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Snigdha Malhotra, Tavleen Kaur, Kokil Jain, Prashant Kumar Pandey and Aniket Sengupta
People with disabilities (PwDs) encounter several impediments to employment prospects, contributing to India's huge employment gap. Entrepreneurship offers a different avenue for…
Abstract
Purpose
People with disabilities (PwDs) encounter several impediments to employment prospects, contributing to India's huge employment gap. Entrepreneurship offers a different avenue for PwDs to overcome these constraints. Entrepreneurship Support Organizations (ESOs) play a significant role in assisting PwD entrepreneurs. The present study aims to explore challenges encountered by entrepreneurs with disabilities (EwDs) in starting or sustaining a business in an Indian ecosystem. The study further aims to examine the status of entrepreneurial outcomes while comprehending the intersection of the challenges of disability and entrepreneurship. The study draws on stakeholder and social identity theories to understand this critical connection.
Design/methodology/approach
A qualitative approach is applied to study the phenomenon. Semi-structured interviews were conducted with 13 EWDs and 5 ESOs to explore the challenges faced and the available support in the Indian context. The study explores the level of coordination and roles these organizations play in fostering an entrepreneurial culture for PWDs.
Findings
The research findings explore novel challenges and facilitators of entrepreneurial pursuits of EwDs. The study further offers implications for policymakers to foster inclusive infrastructure, financial institutions to provide accessible credit options, and ESOs to amplify tailored assistance. Importantly, these dynamics have implications for advancing relevant Sustainable Development Goals.
Originality/value
The intersectional lens of disability and entrepreneurial challenges offered to study PwD entrepreneurship highlights new directions for exploring the phenomenon in deeper detail. Further, the theoretical underpinnings of stakeholder and social identity theories provide practical and indispensable insights into the phenomenon.
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Prashant Salwan, Shailesh Pandey and M.S. Raviteja
On completion of this case study, students will be able assess new venture opportunities by properly allocating expansion fund in growing the business; analyzing various…
Abstract
Learning outcomes
On completion of this case study, students will be able assess new venture opportunities by properly allocating expansion fund in growing the business; analyzing various scaling-up options; applying the Ansoff matrix for growth and expansion; designing a framework for scaling up; and using the business model canvas.
Case overview/synopsis
Mr Sreeram established Eruvaka Technologies in Vijayawada, Andhra Pradesh (India), in 2015 to provide products and services related to aquaculture. The company was founded with the goal of assisting prawn farmers who had trouble keeping up with the demands of the industry. Eruvaka Technologies created risk-reducing and productivity-boosting on-farm diagnostic devices for aquaculture growers. The company developed low-cost monitoring and automation solutions for aquaculture by merging sensors, mobile connection and decision tools. Eruvaka’s primary objective was to offer reasonably priced, technologically advanced goods and services to farmers. Eruvaka matured into a promising startup over time, attracting $5m in funding. Sreeram and his team had to detail their plan to their investors about how they intended to use the money from each funding rounds toward growing the business, how the company planned to achieve sustainable and competitive advantage while providing value to its consumers and how they would address critical issues including product acquisition cost, supply chain problem and customer anxiety.
Complexity academic level
This case study can be taught as part of undergraduate- and postgraduate-level courses and Master of Business Administration courses.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 11: Strategy.
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A.K. Singh and Regalla Srinivasa Prakash
The purpose of this paper is to investigate the transient three‐dimensional temperature distribution for a laser sintered duraform fine polyamide part by a moving Gaussian laser…
Abstract
Purpose
The purpose of this paper is to investigate the transient three‐dimensional temperature distribution for a laser sintered duraform fine polyamide part by a moving Gaussian laser beam. The primary objective of the present paper is to develop computationally efficient numerical simulation technique with the commercially available finite element software domain for the accurate prediction of the temperature history and heat‐affected zones of the laser sintered parts so as to finally obtain the density of the sintered sample.
Design/methodology/approach
The paper proposes a mathematical model of scanning by moving laser beam and sintering sub‐model. Based on the mathematical models, a simulation model was developed by using author written subroutines in ANSYS® 11.0, a general purpose finite element software. The simulation model was then run at experimental designed points using two‐level factorial design of experiments (DOE) approach. The data thus generated were used to predict the equation for the density of sintered part in terms of process parameters using Design Expert software in order to analyse the designed experiments.
Findings
Laser power and scan spacing were found to be significant parameters affecting the part density. Amongst the interaction terms, significant effect of laser power was found on the part density at the lower settings of the scan velocity. Temperature‐time plots were generated to study the transient temperature distribution for the sintering process and with further applicability to study the thermal stresses.
Research limitations/implications
The simulation model hence developed can be used for only simple part geometries and cannot be generalised for any complex geometry.
Originality/value
The paper presents a simulation model which is integrated with a DOE approach so as to develop a robust as well as simple and fast approach for the optimization of quality objective.
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Vineeta Kumari, Satish Kumar, Dharen Kumar Pandey and Prashant Gupta
This study aims to provide insights into different aspects of the extant literature on the effects of dividend announcements. Along with other outputs of a bibliometric study…
Abstract
Purpose
This study aims to provide insights into different aspects of the extant literature on the effects of dividend announcements. Along with other outputs of a bibliometric study, this study provides deeper insights into the concentration of the extant literature and suggest future research agendas.
Design/methodology/approach
This study uses the bibliometric, network and content analysis of the dividend announcement literature indexed in Scopus. This study presents the temporal analysis, the network of authors, countries, author citations and the co-occurrence of author keywords. This study provides the concentration of the extant literature in three clusters and unearth some key future research areas. This study uses the latent Dirichlet allocation method for robustness.
Findings
A total of 54 documents examining the US sample have received 1,804 citations. Interestingly, the first article on emerging markets was published in 2002, when at least 34 articles on developed markets had already been published from 1982 to 2001. The content analysis of top-cited literature unveils diverse insights into dividend announcements’ effects on financial markets. Contagion effects negatively impact non-announcing banks, particularly larger ones. Dividend maintenance affects stock market momentum, influencing loser returns. While current dividend/earnings news may not predict future company performance, information content dominates bond market reactions to post-dividend announcements. Concomitantly, while financially constrained firms exhibit short-term gains but worse long-term performance following dividend increases, larger stock dividends send stronger market signals in China.
Originality/value
This study significantly contributes to the bibliometric and content analysis literature by analyzing the sample documents based on the sample examined. To the best of the authors’ knowledge, no previous bibliometric study in this domain has been conducted to explore the markets (developed and emerging) to which the samples examined belong and the quality of publications from developed and emerging markets.
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Debolina Dutta, Prashant Srivastava, Nazia Zabin Memon and Chaitali Vedak
The study explores inclusive and sustainable growth in Micro, Small and Medium Enterprises (MSME) by examining people-oriented practices that expand employment opportunities for…
Abstract
Purpose
The study explores inclusive and sustainable growth in Micro, Small and Medium Enterprises (MSME) by examining people-oriented practices that expand employment opportunities for women. It uses the Conservation of Resources Theory to explore sustainable HRM practices like telecommuting, managerial support and understanding generational preferences to enhance women's well-being.
Design/methodology/approach
The study captures the impact of HRM practices on employee well-being using multi-source data that were collected through an online questionnaire administered to 2,856 female employees in 18 Indian MSMEs. We then use PLS-SEM (SmartPLS-4 and PLS-multi-group analysis (PLS-MGA)) to analyze predictors of employee well-being.
Findings
The data analysis revealed that satisfaction with HRM practices positively impacted employee well-being. Secondly, satisfaction with telecommuting mediated the relationship between satisfaction with HRM practices and employee well-being. Thirdly, managerial support positively moderated the relationship between satisfaction with telecommuting and well-being. Lastly, generational cohort membership moderated the satisfaction with HRM policies and well-being, with Generation Z having a stronger need than Generation Y.
Practical implications
This study emphasizes the significance of robust and gender-sensitive HRM practices in MSMEs in high-growth emerging markets. It emphasizes the need for telecommuting policies and the role of managers in creating a supportive work environment for women. By implementing these insights, MSMEs can develop effective strategies to attract, retain and promote the well-being of women employees, thereby fostering sustainable HRM practices.
Originality/value
This study explores sustainable MSME HRM practices supporting gender inclusions and women’s well-being in high-growth emerging markets. By focusing on gender inclusion and the impact of telecommuting, generational preferences and managerial support, we contribute to mechanisms for sustainable labor as an economic and social concept.
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Vikas Goyal and Prashant Mishra
The purpose of this paper is to develop a nuanced framework for evaluating a channel partner’s performance in distribution channel relationships. Given a channel partner’s task…
Abstract
Purpose
The purpose of this paper is to develop a nuanced framework for evaluating a channel partner’s performance in distribution channel relationships. Given a channel partner’s task environment characteristics (high/low munificence, dynamism and complexity), the study examines which performance metrics (output, activity or capability) are most relevant for evaluating its performance levels effectively.
Design/methodology/approach
The study adopts self-administered cross-sectional survey-based research design. Matched data were collected from 252 channel partners – manager relationship dyads. The latent change score (LCS) model within SEM framework provides mean paired-differences of the relevance ratings for each metrics. This was used to assess the empirical validity of the hypothesized relationships.
Findings
The study demonstrates the importance of calibrating performance evaluation metrics to a channel partner’s task environment state, made possible by its holistic approach to performance evaluation. Based on an extensive analysis, it shows that no single metric is relevant within all environmental states; rather, it could be dysfunctional, a result that differs from vast majority of the literature.
Research limitations/implications
Investigates individual linkages between task environment dimensions and performance metrics to provide a fuller understanding of these relationships. Also provides a theoretical framework to support further research on the topic.
Practical implications
The study provides managerial guidelines (and extensive graphical analysis) for nuanced and dynamic evaluation of channel partners’ performance that can enable firms to identify and promote their most valuable channel partners and prevent the deterioration of others.
Originality/value
First one to develop and empirically validate a nuanced framework for evaluating performance of exchange partners that operate under diverse task environment states.
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Prashant Singh, Rajesh Kumar Jha, Manish Goswami and B.R. Singh
The purpose of this paper is to investigate the effect of high-k material HfO2 as a buffer layer for the fabrication of metal-ferroelectric-insulator-silicon (MFeIS) structures on…
Abstract
Purpose
The purpose of this paper is to investigate the effect of high-k material HfO2 as a buffer layer for the fabrication of metal-ferroelectric-insulator-silicon (MFeIS) structures on Si (100) substrate.
Design/methodology/approach
RF-sputtered Pb[Zr0.35Ti0.65]O3 or (PZT) and plasma-enhanced atomic layer deposited HfO2 films were selected as the ferroelectric and high-k buffer layer, respectively, for the fabrication of metal-ferroelectric-insulator-silicon (MFeIS) structures on Si (100) substrate. Multiple angle ellipsometry and X-ray diffraction analysis was carried out to obtain the crystal orientation, refractive index and absorption coefficient parameters of the deposited/annealed films. In the different range of annealing temperature, the refractive index was observed in the range of 2.9 to 2 and 1.86 to 2.64 for the PZT and HfO2 films, respectively
Findings
Electrical and ferroelectric properties of the dielectric and ferroelectric films and their stacks were obtained by fabricating the metal/ferroelectric/silicon (MFeS), metal/ferroelectric/metal, metal/insulator/silicon and MFeIS capacitor structures. A closed hysteresis loop with remnant polarization of 4.6 µC/cm2 and coercive voltage of 2.1 V was observed in the PZT film annealed at 5000 C. Introduction of HfO2 buffer layer (10 nm) improves the memory window from 5.12 V in MFeS to 6.4 V in MFeIS structure with one order reduction in the leakage current density. The same MFeS device was found having excellent fatigue resistance property for greater than 1010 read/write cycles and data retention time more than 3 h.
Originality/value
The MFeIS structure has been fabricated with constant PZT thickness and varied buffer layer (HfO2) thickness. Electrical characteristics shows the improved leakage current and memory window in the MFeIS structures as compared to the MFeS structures. Optimized MFeIS structure with 10-nm buffer layer shows the excellent ferroelectric properties with endurance greater than E10 read/write cycles and data retention time higher than 3 h. The above properties indicate the MFe(100 nm)I(10 nm)S gate stack as a potential candidate for the FeFET-based nonvolatile memory applications.
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Prashant Kumar Sinha, Sagar Bhimrao Gajbe, Sourav Debnath, Subhranshubhusan Sahoo, Kanu Chakraborty and Shiva Shankar Mahato
This work provides a generic review of the existing data mining ontologies (DMOs) and also provides a base platform for ontology developers and researchers for gauging the…
Abstract
Purpose
This work provides a generic review of the existing data mining ontologies (DMOs) and also provides a base platform for ontology developers and researchers for gauging the ontologies for satisfactory coverage and usage.
Design/methodology/approach
The study uses a systematic literature review approach to identify 35 DMOs in the domain between the years 2003 and 2021. Various parameters, like purpose, design methodology, operations used, language representation, etc. are available in the literature to review ontologies. Accompanying the existing parameters, a few parameters, like semantic reasoner used, knowledge representation formalism was added and a list of 20 parameters was prepared. It was then segregated into two groups as generic parameters and core parameters to review DMOs.
Findings
It was observed that among the 35 papers under the study, 26 papers were published between the years 2006 and 2016. Larisa Soldatova, Saso Dzeroski and Pance Panov were the most productive authors of these DMO-related publications. The ontological review indicated that most of the DMOs were domain and task ontologies. Majority of ontologies were formal, modular and represented using web ontology language (OWL). The data revealed that Ontology development 101, METHONTOLOGY was the preferred design methodology, and application-based approaches were preferred for evaluation. It was also observed that around eight ontologies were accessible, and among them, three were available in ontology libraries as well. The most reused ontologies were OntoDM, BFO, OBO-RO, OBI, IAO, OntoDT, SWO and DMOP. The most preferred ontology editor was Protégé, whereas the most used semantic reasoner was Pellet. Even ontology metrics for 16 DMOs were also available.
Originality/value
This paper carries out a basic level review of DMOs employing a parametric approach, which makes this study the first of a kind for the review of DMOs.