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Focuses on computer‐integrated manufacturing′s macro aspects and its strategic implications. Defines CIM at the macro and micro level and the various factors that strongly call for the implementation of CIM. After going into the advantages, concludes with implications for the future.

This study aims to investigate the motives of mobile payment adoption from both customers' and retailers' perspectives in Sri Lanka during the COVID-19 pandemic period. It also aims to compare the motives of mobile payment adoption across rural and urban contexts.

The study employs a mixed-method approach with a concurrent research design. Both a survey of customers and in-depth interviews of managers in retail companies are used.

The study discloses that performance expectancy and facilitating conditions (PEFC), Hedonic motivation (HM) and perceived technology security (PTS) as significant motives for customers to adopt mobile payment during this pandemic period. Such findings are confirmed by the four challenges disclose by the retailers. The unfamiliarity of customers, lack of employees' knowledge on mobile payment systems, poor management orientation and lack of computer literacy of customers are the main challenges from the retailers' perspectives. Further, it shows, though PEFC is a common motive, other motives are different across rural and urban.

The findings of the study are helpful for retailers and policymakers. Retailers can develop strategies to enhance mobile payment adoption through PEFC, HM and PTS by giving special attention to the rural community. The main motive possible to use in both rural and urban contexts is PEFC. Further, retailers should take the initiatives to uplift the technological know-how of their employees while inculcating supportive management orientation. Policymakers can use this study to develop policies to enhance the community's familiarity with mobile payment technology and computer literacy.

To the best of the authors’ knowledge, this is the first study to investigate motives for adopting mobile payments from both customers' and retailers' perspectives while being the first scrutiny to compare rural and urban scenarios. The use of mixed methods with concurrent research design also contributes to originality.

Systematic literature review (SLR) papers have gained significant importance during the last years as many reputed journals have asked for literature review submissions from the authors. However, at the same time, authors are experiencing a high number of desk rejections because of a lack of quality and its contribution to the existing body of knowledge. Therefore, the purpose of this paper is to offer guidance to researchers who intend to communicate SLR papers in top-rated journals. We attempt to offer a guide to buddy researchers who plan to write SLR papers. This purpose is achieved by clearly stating how the traditional review method is different from SLR, when and how can each type of literature review method be used, writing effective motivation of a review paper and finally how to synthesize the available literature. We have also presented a few suggestions for writing an impactful SLR in the last. Overall, this chapter serves as a guide to various aspirants of SLR paper to understand the prerequisites of an SLR paper and offers deep insights to bring in more clarity before writing an SLR paper, thereby reducing the chances of desk rejection.

This paper aims to propose a view similarity-based shape complexity metric to guide part selection for additive manufacturing (AM) and advance the goals of design for AM. The metric helps to improve the selection process by objectively screening a large number of parts and identifying the parts most suited for AM and enabling experts to prioritize parts from a smaller set based on relevant subjective/contextual factors.

The methodology involves calculating a part’s shape complexity based on the concept of view similarity, that is, the similarity of different views of the outer shape and internal cross-sectional geometry. The combined shape complexity metric (weighted sum of the external shape and internal structure complexity) has been used to rank various three dimensional (3D) models. The metric has been tested for its sensitivity to various input parameters and thresholds are suggested for effective results. The proposed metric’s applicability for part selection has also been investigated and compared with the existing metric-based part selection.

The proposed shape complexity metric can distinguish the parts of different shapes, sizes and parts with minor design variations. The method is also efficient regarding the amount of data and computation required to facilitate the part selection. The proposed method can detect differences in the mass properties of a 3D model without evaluating the modified parameters. The proposed metric is effective in initial screening of a large number of parts in new product development and for redesign using AM.

The proposed metric is sensitive to input parameters, such as the number of viewpoints, design orientation, image resolution and different lattice structures. To address this issue, this study suggests thresholds for each input parameter for optimum results.

This paper evaluates shape complexity using view similarity to rank parts for prototyping or redesigning with AM.

This study explores the factors impacting user adoption and trust in blockchain-based food delivery systems, with a spotlight on the Open Network for Digital Commerce (ONDC). In the evolving food delivery sector, blockchain offers transparency and efficiency. Through the Unified Theory of Acceptance and Use of Technology (UTAUT) lens, this research provides insights for businesses and policymakers, highlighting the importance of blockchain’s integration into food delivery.

The research employed the UTAUT and its extensions as the theoretical framework. A structured questionnaire was developed and disseminated to users of the ONDC platform, and responses were collected on a seven-point extended Likert scale. The analyses were undertaken employing the partial least squares (PLS) methodology and structural equation modelling (SEM).

Key factors like performance expectancy, effort expectancy and social influence were found influential for adoption. Trust played a central role, while perceived risk didn’t significantly mediate the adoption process. Digital culture didn’t significantly moderate the adoption intention.

This research adds to the existing body of knowledge by providing empirical insights into user adoption and trust in blockchain-based food delivery platforms. It is among the pioneer studies to apply the UTAUT model in the realm of blockchain-based food delivery platforms, thereby offering a unique perspective on the dynamics of user behaviour in this emerging field.

The purpose of this work is to make a computer aided detection system for epileptic seizures. Epilepsy is a neurological disorder characterized as the recurrence of two or more unprovoked seizures. The common and significant tool for aiding in the identification of epilepsy is Electroencephalography (EEG). The EEG signals contain information about the electrical activity of the brain. Conventionally, clinicians study the EEG waveforms manually to detect epileptic abnormalities, which is very time-consuming and error-prone.

The authors have presented a three-layer long short-term memory network for the detection of epileptic seizures.

The network classifies between seizure and non-seizure with 99.5% accuracy only in 30 epochs. This makes the proposed methodology useful for real-time seizure detection.

This research work is original and not plagiarized.

The purpose of this study is to develop innovations in human resource (InHR) framework in the context of Indian banking industry and further develop a scale for its measurement.

A non-response bias test is conducted on a sample of 300 employees, and the assumptions of constant variance, outliers and normality are tested. Further, the InHR scale is validated through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) tests.

EFA confirms the existence of five empirically distinct constructs at banking industry in India, and CFA affirms the dependability of the arrived constructs. It is concluded that the InHR framework constructs possess high reliability and validity.

The authors duly recognize the limitations of survey-based research, the exploratory research design and the use of single method.

The proposed InHR scale and its constructs are an important input to guide managers and human resources (HR) policymakers to devise strategies for the Indian banking industry. Banks can also benchmark existing HR policies by applying the proposed InHR framework constructs.

The InHR constructs provide academicians and practitioners with a better approach of understanding the InHR practices.

Despite the significance of Indian banking industry for the socio-economic capital, academic research focusing on this industry’s innovative practices has been limited. This study reveals originality and value by proposing an InHR framework in the context of Indian banking industry which integrates all the major innovative practices. Further a scale has been developed for its measurement.

In part-I of this review series, research from Afghanistan, Bangladesh, Bhutan, Maldives, Nepal and Sri Lanka was reviewed. The purpose of this paper which is part-II of the series, is to review management research from India and Pakistan over a 25-year period from 1990 to 2014.

A systematic review approach was adopted for this research. As a quality standard for inclusion, articles were restricted to journals rated A*, A, or B by the Australian Business Deans Council in 2013 and either Q1 or Q2 in the Scopus/Imago classification system. The divisions and interest groups of the Academy of Management were used as framework to organize the search results.

A total of 1,039 articles related to India (n = 930) and Pakistan (n = 112) emerged from the search process, with three articles being related to both countries. The research was published in 163 different journals that met the quality criteria. The period under review coincides with the advent of economic liberalization in India and this emerged as a major theme in the India-related research. Other context-specific insights for these two countries are also derived from an ecological and institutional theory perspective.

This research represents the first comprehensive and systematic review of management research in India and Pakistan. As in part-I, the unique review approach allows for strict adherence to a predetermined quality standard while including a wide variety of journals and research traditions.

In the rapidly changing business world, innovation plays a vital role for organizations to gain a competitive advantage. Various factors associated with technology management and innovations in organizations are diverse in the existing literature. Therefore, there is a need to bridge these gaps in the fitting proportions toward innovations within organizations. The primary objective of this study is to identify, explain and interpret the relationships between the identified technology-related factors that are important for innovations in organizations.

In this study, a modified total interpretive structural modeling (M-TISM) methodology was used to examine and analyze the various interactions between identified factors for innovations in organizations. However, the argumentation of the links is relatively weak in M-TISM. In order to compensate for this, M-TISM is additionally altered by an “Argumentation-based Modified TISM”. Hence, this research strengthens the modified TISM methodology by incorporating argumentation and total interpretation of the relationships between the identified factors.

A total of six major factors were identified using a literature review. Results suggest that workforce technical skills, technological infrastructure, technological alliances, technology transfer and top management support have an impact on innovation in organizations. Results also suggest that top management support and the technological infrastructure of an organization have a greater impact on innovation.

For policymakers and practitioners, this study provides a suggestive list of critical factors, which may help to develop policies or guidelines for improving innovation in organizations. Policymakers should focus on technological infrastructure and collaborations to enhance innovations and productions within the organizations. For academicians, this study provides a modified TISM model that shows the impact of technology-related factors on innovations. Future researchers could expand this study by adding a greater number of technological factors and validate this model in other industries.

This study fills a gap in the literature by interpreting the various relationships among the identified factors and innovations. The model has been validated through a panel of seven experts from the Indian automotive industry of multiple organizations. This study is useful in the automobile industry as it determines what and how technology-related factors affect innovations, process improvement and R&D production for organizations.

The purpose of this study is to investigate the impact of internet on the e-lifestyle of the youth of emerging markets (EMs) in contemporary digital world using Ghanaian youth as a case study.

Survey data were obtained from students of five leading universities in Accra, the nation’s capital, between February and June 2017. Of the 300 questionnaires administered, 276 were usable representing 92 per cent collection rate. Respondents were randomly approached and oriented on the object of the study and asked to complete the instrument voluntarily using the face-to-face approach at student events. Both the exploratory factor analysis (EFA) and the structural equation modelling procedure of partial least square (PLS-SEM) were used to analyse the data.

From the study, drivers of the e-lifestyle of youth in EMs were listed in order of importance: socio-importance, interest, entertainment, necessity, novelty, academic, transaction and concern needs. Surprisingly, the quest for academic information does not motivate the youth to surf the internet compared to aspiration to satisfy social, interest and entertainment-driven needs.

E-lifestyle addiction compels the youth to surf the internet via mobile phones, computers and other devices for e-lifestyle satisfaction, requiring internet service providers, marketers and academics to develop innovative e-lifestyle products to stimulate continuous internet usage of internet by the youth.

This study provides practical insight for internet service providers, web and application developers and members of the academic community to consciously develop internet-based products that direct the youth towards fulfilling e-lifestyle motivation.

The convergence of the youth on the internet will in no doubt impact social behaviour, thereby influencing lifestyles.

As very little work has been done on youth e-lifestyle in EMs, this study serves as a pioneering work in EMs using Ghanaian youth as a case study. Ironically, students of EMs spend less time on the internet doing academic concerns compared to social activities. Additionally, the importance of transaction (payments) needs as a driver of internet use among the youth has been emphasised in this study.