Vinita Krishna and Sudhir K. Jain
Patents as one of the important components of intellectual capital are emerging as a new source for mining insights on open innovation (OI) practice of the organizations. Their…
Abstract
Purpose
Patents as one of the important components of intellectual capital are emerging as a new source for mining insights on open innovation (OI) practice of the organizations. Their role in value creation through collaboration and the inter-firm differences is yet to be explored in depth.
Design/methodology/approach
To achieve the aim, survey data is analyzed to rank OI practices (collaboration) of the firms, while patent data are analyzed to carry out descriptive and bivariate analysis to study the inter-firm differences in collaboration.
Findings
The survey findings highlight mergers and acquisitions (M&A) and patent pooling as the top two preferred modes of OI, while from patent data M&A has emerged as a predominant OI practice for mainly nonresident firms. At the firm level characteristics, out of firm age, number of granted patents and firm size, firm age has been found to be somewhat significant in few cases of OI practices.
Research limitations/implications
It provides an alternative source, in this case patent data to study open innovation capabilities of firms in India. There is contribution to the patent value theory from profit motive to deriving strategic decisions on collaboration.
Practical implications
The managerial implications of this study lie in realizing granted patents as important business tools for seeking collaboration, tracing competitive intelligence and the geography of innovation of the firms' competitors.
Originality/value
The dataset of granted patents at the Indian Patent office (2005–2017), the sample of pharmaceutical firms drawn from this list of patents, patent data– based OI insights and the use of multiple imputation technique to missing data for meaningful insights are some of the unique aspects of this paper.
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Garments industry is important for developing countries as well as developed countries as it contributes significantly to the employment generation and economic growth. This…
Abstract
Garments industry is important for developing countries as well as developed countries as it contributes significantly to the employment generation and economic growth. This industry has long been regulated by consecutive international agreements such as Multi Fiber Arrangement (MFA), which is scheduled to be phased out by 2005. Thje dismantling of MFA (quota) regime seems to bring more threats to developing countries. Emerging issues related to environmental and social compliance (e.g. minimum legal wage, employee’s work life, health), technology requirements etc. have been brought into surface by the importing countries fiz. developed countries. Although it is too early to predict, the adverse effect has been felt by India since the beginning of MFA phase out. The aim of this study is to assess the understanding and responses of the garment exporters in India towards the emerging issues. Factor analysis was used in this analysis. Construct validity and sample adequacy were performed using KMO value. Six factors have emerged from the analysis. On the basis of these six factors, the perceptions of the importers in India were also analyzed and subsequently compared the same with the exporters’ perception. Under Radar Diagram the results of the difference have been analyzed.
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Muktesh Chander, Sudhir K. Jain and Ravi Shankar
The purpose of this paper is to identify various information security management parameters and develop a conceptual framework for it.
Abstract
Purpose
The purpose of this paper is to identify various information security management parameters and develop a conceptual framework for it.
Design/methodology/approach
Interpretive Structural Modeling (ISM) and MICMAC approaches have been used to identify and classify the key factors of information security management based on the direct and indirect relationship of these factors.
Findings
The research presents a classification of key parameters according to their driving power and dependence which enable information security management in an organization. It also suggests parameters on which management should pay more attention.
Research limitations/implications
In the paper, 12 parameters were identified based on a literature study and expert help. It is possible to identify some more parameters for ISM development. The help of experts was also used to identify the contextual relationship among the variables for the ISM model. This may introduce some element of bias. Although a relationship model using ISM has been developed, it has not been validated statistically. For future research, it is suggested that the structural equation modelling (SEM) technique may be used to corroborate the findings of ISM. Some of the variables have been grouped together, being a part of a subset due to their similar nature; but it is possible to treat them as independent variables. Future researches may establish their interrelationships also.
Practical implications
The paper has tremendous practical utility for organizations which want to reap the benefits of information and communication technology for their growth but are struggling to find a right approach to deal with information security breach incidents.
Originality/value
Development of a framework for information security management in an organization is the major contribution of this paper. This would be of help to strategic managers in managing information security with emphasis on key parameters identified here.
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Adi Alic, Emir Agic and Almir Pestek
This study analyses direct effects of risk-related factors on perceived quality for private labels.
Abstract
Purpose
This study analyses direct effects of risk-related factors on perceived quality for private labels.
Design/methodology/approach
A total of 159 usable data was collected through survey, using mall intercept method in one regional retail chain in Bosnia and Herzegovina.
Findings
The results confirm that the perceived risk has a significant and negative impact on consumers’ perceptions of the quality of private labels, and that the financial risk, performance risk, and physical risk are significant determinants of overall perceived risk, thus indirectly influencing the perception of the quality of these brands.
Originality/value
This chapter shows that the perceived quality of private labels is significantly determined by the perceived risk to which consumers are exposed. The findings of this research can help retailers in terms of adequately defining marketing policies aimed at reducing the perceived risk that consumers are exposed to when purchasing their own brands.
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MengQi (Annie) Ding and Avi Goldfarb
This article reviews the quantitative marketing literature on artificial intelligence (AI) through an economics lens. We apply the framework in Prediction Machines: The Simple…
Abstract
This article reviews the quantitative marketing literature on artificial intelligence (AI) through an economics lens. We apply the framework in Prediction Machines: The Simple Economics of Artificial Intelligence to systematically categorize 96 research papers on AI in marketing academia into five levels of impact, which are prediction, decision, tool, strategy, and society. For each paper, we further identify each individual component of a task, the research question, the AI model used, and the broad decision type. Overall, we find there are fewer marketing papers focusing on strategy and society, and accordingly, we discuss future research opportunities in those areas.
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Mohammad Shamsuddoha and Mohammad Abul Kashem
Blockchain, in general, diversifies supply chain management in record-keeping and maintains authenticity. In addition, traditional issues and challenges like overflow and…
Abstract
Blockchain, in general, diversifies supply chain management in record-keeping and maintains authenticity. In addition, traditional issues and challenges like overflow and information overload press down mysteriously whenever the blockchain steering wheel of the supply chain turns. Factually, the miracle and twists in supply chain resilience have not been incorporated under systematic review homogeneously. As a result, this study reviews the potential impact of blockchain on logistics and supply chain (LSC) efficiency. The methodology of this study provides a subjective assessment of the utility of blockchain-based LSC performance.
On the other hand, the review reveals new insights on its current acceptance and applications, with a particular emphasis on the Limit Redundancy Mechanism and Core Information-based Direct Comparison. Prospectively, the identified facts under the research paradigm and extensive literature survey will subsidize the practices of blockchain technology and possible areas of extension in supply chain resilience in luminous fashion in the future. After all, this study materializes new solid magnitudes, adaptability, and a realistic overview of blockchain-based LSC movements.
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Saumyaranjan Sahoo and Sudhir Yadav
The purpose of this paper is to examine the extent to which lean management practices are adopted by small- and medium-sized manufacturing organizations in India and their impact…
Abstract
Purpose
The purpose of this paper is to examine the extent to which lean management practices are adopted by small- and medium-sized manufacturing organizations in India and their impact on firm’s operational performance (OP). Also, the paper makes an attempt to identify the barriers and challenges faced by Indian SMEs that are striving to succeed with improvement efforts based on lean manufacturing.
Design/methodology/approach
In this paper, acceptability and implementation of lean manufacturing in Indian Manufacturing SMEs were analyzed using three constructs, namely, process improvement (PI), flow management (FM) and waste minimization (WM). The responding firms were categorized into “lean-Beginners,” “In-transition lean” and “lean” group based on their phases of lean implementation. Using a survey questionnaire, data were collected from 121 manufacturing SMEs in India. Lean tools and barriers, identified from the literature review, were also included in the survey. The reliability and validity of the practice and performance measures were evaluated. Correlation analysis was employed to investigate the effects of three constructs on OP.
Findings
The results indicate that all the three lean constructs are significantly related to OP. In the context of Indian manufacturing SMEs, “PI” and “WM” practices have shown a higher level of significance on OP, compared to “FM” practices. “5S -workplace organization” was found to be the most practiced lean tool. “Attitude of workmen” was highlighted as the main obstacle in successfully implementing lean. The findings suggest overall positive effects as a result of applying lean tools and philosophy in Indian SMEs.
Research limitations/implications
The research results may lack qualitative justification because of the chosen research approach. Therefore, the researchers are encouraged to explore the inter-relationship among various lean tools/practices and performance criteria by conducting a qualitative study in the form of a case study or action research.
Practical implications
This paper is a beneficial source of information that highlights the contribution of lean implementation in enhancing manufacturing productivity. The major tools and techniques used by Indian SMEs have been highlighted and discussed; it could be a genuine source of motivation to lean practitioner and entrepreneurs of SMEs to go in for lean implementation. The findings are also expected to benefit the lean practitioners and entrepreneurs of SMEs to focus on vital issues to facilitate successful lean implementation in an organization.
Originality/value
The paper demonstrates that practical implication of lean implementation can bring real breakthroughs in productivity to small- and medium-scale manufacturing firms.