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The purpose of this paper is to identify and build a hierarchy of the factors influencing competitiveness of electronics manufacturing industry (EMI) at the industry level and apply the interpretive structural modeling, fuzzy Matriced’ Impacts Croisés Multiplication Appliquée á UN Classement (i.e. the cross-impact matrix multiplication applied to classification; MICMAC) and analytic hierarchy process (AHP) approaches. These factors have been explained with respect to managerial and government policymakers’ standpoint in Indian context.

This study presents a hierarchy and weight-based model that demonstrates mutual relationships among the significant factors of competitiveness of the Indian EMI.

This study covers a wide variety of factors that form the bedrock of the competitiveness of the EMI. Interpretive structural modeling and fuzzy MICMAC are used to cluster the influential factors of competitiveness considering the driving and dependence power. AHP is used to rank the factors on the basis of weights. Results show that the “government role” and “foreign exchange market” have a significantly high driving power. On the other hand, the “capital resource availability” and “productivity measures” come at the top of the interpretive structural modeling hierarchy, implying high dependence power.

The study has strong practical implications for both the manufacturers and the policymakers. The manufacturers need to focus on the factors of competitiveness to improve performance, and at the same time, the government should come forward to build a suitable environment for business in light of the huge demand and frame suitable policies.

The lackluster performance of the industry is because of the existing electronics policies and environmental conditions. The proposed interpretive structural modeling and fuzzy MICMAC and AHP frameworks suggest a better understanding of the key factors and their mutual relationship to analyze competitiveness of the electronics manufacturing industry in view of the Indian Government’s “Make in India” initiatives.

This paper contributes to the industry level competitiveness and dynamics of multi-factors approach and utilize the ISM–fuzzy MICMAC and AHP management decision tool in the identification and ranking of factors that influence the competitiveness of the EMI in the country.

This study tries to examine the factors that influence the adoption of e-governance mobile applications among Indian citizens. In addition, this study aims to analyse the impact of these factors on the adoption process.

The study used convenience sampling procedure to collect the data from 431 citizens of India. Confirmatory factor analysis and structural equation modelling techniques were used to assess the validity of scale and test the hypotheses.

The finding reveals that the information quality (IQ), perceived usefulness, social influence and government appeal (GA) significantly and positively impacted the attitude of citizen towards the m-governance. In addition, perceived ease of use was not significantly and positively impacted the citizen towards the m-governance.

This study aims to contribute to the existing literature on m-governance adoption in the developing nation. The study intends to provide insightful information on the factors influencing the adoption of m-governance. Also, this study seeks to make a scholarly contribution and provide practical insights for professionals in the industry and government departments.

Mobile applications transform the government operations and enhance the efficiency of government service delivery. Although there are numerous benefits of m-government application, but still the adoption rate of m-governance is steady. The study uses technology acceptance model along with incorporated two additional constructs, i.e. IQ and GA, to make model more comprehensive and robust to understand the m-governance adoption intention.

The purpose of the current study is to investigate the effects of individual-level (espoused) cultural values (collectivism, power distance, uncertainty avoidance, masculinity and long-term orientation) on the individuals' acceptability of inappropriate social network behaviors.

The study employs survey data collected from 482 social network users (261 in the United States and 221 from India).

Results show that individuals with high power distance, masculinity and long-term oriented cultural values are more accepting of inappropriate social network behaviors of others, while those with strong uncertainty avoidance cultural values have high degree of social network behavior inappropriateness, which is defined as the extent to which behaviors of social network users are considered unacceptable by others.

The paper highlights the need for more academic research on the intersection of culture and social network behaviors. This study emphasizes the need for adopting an interdisciplinary approach to understand individuals' social network behaviors.

The paper offers recommendations to global organizations pertaining to the need for creating social network policies in such a way that encourages their global workforce to openly, yet respectfully, share their ideas using social networks.

Using an interdisciplinary approach, the present study extends our understanding of a recently proposed social network behavioral inappropriateness construct and explains how differences in cultural values may lead to differences in individuals' social network behaviors.

Mindful consumption is a popular concept that is often associated with mindfulness and religious faith, but nonetheless, its empirical associations to these remain relatively underexplored. Clarifying the impact of mindfulness and religious faith on mindful consumption is important to delineate their effectiveness in influencing consumers to reconsider consumption decisions (e.g. the need for additional products) given the detrimental effects of mindless consumption (e.g. financial debt, environmental degradation and materialistic culture). The concern about mindfulness potentially being a religious matter can also be resolved through empirical validation. Hence, the purpose of this research is to advance the empirical understanding of how mindfulness and religious faith impact on mindful consumption and whether mindfulness and religious faith are interrelated.

The authors adopt a multistudy approach to scaffold the exploration of mindfulness and religious faith as precursors of mindful consumption.

Study 1 carries out an experiment with undergraduates and demonstrates that mindfulness encourages mindful consumption. Study 2 conducts an offline survey with undergraduates and provides evidence that mindfulness and religious faith independently (i.e. without interacting with each other) encourage mindful consumption. Study 3 uses an online survey of consumers for conceptual replication and reaffirms the findings of Studies 1 and 2 across gender, occupations and household incomes (except middle-income households).

The implications of these findings are discussed, wherein mindfulness and religious faith are earmarked as viable avenues for promoting mindful consumption.

This seminal attempt uses multiple studies to empirically validate the nature and generalizability of relationships between mindfulness, religious faith and mindful consumption.

Examines Just‐in‐Time (JIT) from its evolution as a Japanese concept through to a review of its philosophy and implementation. Cites several techniques of implementation. Includes a review of the early work of various researchers and practitioners. Concludes that JIT is a very effective manufacturing philosophy which is universal in nature encompassing all aspects of manufacturing. Suggests a few deficiencies in current literature.

The research in competitive facility location (CFL) is quite dynamic, both from a problem formulation and an algorithmic point of view. Research direction has changed immensely over the years to address various competitive challenges. This study aims to explore CFL literature to highlight these research trends, important issues and future research opportunities.

This study utilises the Scopus database to search for related CFL models and adopts a five-step systematic approach for the review process. The five steps involve (1) Article Identification and keyword selection, (2) Selection criteria, (3) Literature review, (4) Literature analysis and (5) Research studies.

The paper presents a comprehensive review of CFL modelling efforts from 1981 to 2021 to provide a depth study of the research evolution in this area. The published articles are classified based on multiple characteristics, including the type of problem, type of competition, game-theoretical approaches, customer behaviour, decision space, type of demand, number of facilities, capacity and budget limitations. The review also highlights the popular problem areas and dedicated research in the respective domain. In addition, a second classification is also provided based on solution methods adopted to solve various CFL models and real-world case studies.

The paper covers 40 years of CFL literature from the perspective of the problem area, CFL characteristics and the solution approach. Additionally, it introduces characteristics such as capacity limit and budget constraint for the first time for classification purposes.

The purpose of this paper is to create a numerical technique to tackle the challenge of selecting software reliability growth models (SRGMs).

A real-time case study with five SRGMs tested against a set of four selection indexes were utilised to show the functionality of TOPSIS approach. As a result of the current research, rating of the different SRGMs is generated based on their comparative closeness.

An innovative approach has been developed to generate the current SRGMs selection under TOPSIS environment by blending the entropy technique and the distance-based approach.

In any multi-criteria decision-making process, ambiguity is a crucial issue. To deal with the uncertain environment of decision-making, various devices and methodologies have been explained. Pythagorean fuzzy sets (PFSs) are perhaps the most contemporary device for dealing with ambiguity. This article addresses novel tangent distance-entropy measures under PFSs. Additionally, numerical illustration is utilized to ascertain the strength and authenticity of the suggested measures.

The purpose of this study is to explore, understand and investigate the relationship between national culture and knowledge management (KM) process.

This study is based on systematically and objectively capturing the contents of extant research papers published by researchers in this area by using the literature review methodology.

The study demonstrates significant relationship between national culture and KM process. Further, it also provides directions for future research.

The study will help top management to understand and appreciate the impact of national culture on KM process in organization, where people from different nations are working together. The management may apply appropriate organizational interventions to manage people of different national cultures in effective manner and effective utilization of knowledge of the organization through KM process. This paper will be considered as a quick reference and resource for anyone interested in this area.

This study is a comprehensive literature review of influence of national culture on KM process. Further, it also sets the research agenda for future researchers.

The purpose of this paper is to introduce architecture of an Intelligent Decision Support System to fulfill the emerging responsibilities of law enforcement agencies.

The proposed Intelligent Police System (IPS) is designed to meet the emerging requirements and provide information at all levels of decision making by introducing a multi-level structure of user interface and crime analysis model. The proposed framework of IPS is based on data mining and performance measurement techniques to extract useful information like crime hot spots, predict crime trends and rank police administration units on the basis of crime prevention measures.

IPS has been implemented on actual Indian crime data provided by National Crime Records Bureau (NCRB), which illustrates effectiveness and usefulness of the proposed system. IPS can play a vital role in improving outcome in the crime investigation, criminal detection and other major areas of functioning of police organization by analyzing the crime data and sharing of the information.

The research in intelligent police information system can be enhanced with some important additional features which include web-base management system, geographical information system, mobile adhoc network technology, etc.

IPS can easily be applied to any police system in the world and can equally be useful for any law enforcement agencies for carrying out homeland security effectively.

The research reported in this manuscript is outcome of the research project funded by NCRB. This paper is the first attempt to build framework of IPS for Indian police who deal with large volume and high rate of crimes that are unmatched to any police force of the world.

This paper aims to explore the trade-off between liquidity, risk and return under sectoral diversification across distinct economic settings and investment strategies.

A novel multi-objective portfolio model is proposed to assess investment decisions under sectoral diversification, where the objective functions and constraints are interval-valued. The objective functions used are risk minimization (through the semi-absolute deviation measure of risk), maximization of liquidity (using turnover as a proxy) and the maximization of logarithmic return. Besides coherence constraints (imposing that the sum of the percentages of investment assigned to each stock should be equal to 100%), constraints regarding the maximum proportion of capital that can be invested (ensuring a minimum level of diversification) and cardinality constraints (to account for transaction costs) are also imposed.

Besides the trade-off between return and risk, the study findings highlight a trade-off between liquidity and return and a positive relationship between risk and liquidity. Under an economic crisis scenario, the trade-off between return and liquidity is reduced. With the economic recovery, the levels of risk increase when contrasted with the setting of the economic crisis. The highest liquidity levels are reached with the economic boom, whereas the highest returns are obtained with the economic recession.

This paper suggests a new modeling approach for assessing the trade-offs between liquidity, risk and return under different scenarios and investment strategies. A new interactive procedure inspired on the reference point approach is also proposed to obtain possibly efficient portfolios according to the investor's preferences. Regarding previous approaches suggested in the literature, this new procedure allows obtaining both supported and unsupported efficient solutions when cardinality constraints are included.