Ajith Venugopal, Sridhar Nerur, Mahmut Yasar and Abdul A. Rasheed
This study aims to examine how chief executive officer's (CEO) personality traits influence the corporate sustainability performance (CSP) of firms. The paper also examines the…
Abstract
Purpose
This study aims to examine how chief executive officer's (CEO) personality traits influence the corporate sustainability performance (CSP) of firms. The paper also examines the moderating effect of board power on this relationship.
Design/methodology/approach
Using a linguistic tool (IBM's Watson Personality Insight Service), the authors measured the personality traits of 229 CEOs from 176 firms from 2009 to 2018. Firm-level CSP are obtained from the Sustainalytics database. The hypotheses are tested using multiple regression analysis. The robustness of the results of the study is confirmed by addressing endogeneity concerns and by validating the measurement of CEO personality traits using Personality Recognizer, an alternative linguistic tool.
Findings
The results show that CEO personality traits of extraversion and neuroticism are significant predictors of CSP. The paper also identifies board power as a contingent factor that influences the suggested relationships.
Originality/value
Using upper echelon theory and cybernetic big five theory, this paper identifies CEO personality traits as important antecedents of corporate sustainability performance and adds to the micro-foundations of corporate sustainability literature. To the authors’ understanding, this is the first study that examines the influence of CEO personality on CSP using a comprehensive trait framework. The paper also demonstrates the usefulness of text-analytic tools to measure CEO personality traits, thereby contributing to the progress of upper echelon theory.
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Sam Ramanujan and Sridhar Nerur
Resources allocated to software maintenance constitutes a major portion of the total life cycle cost of a system. The enormous effect that this can have on an organization's…
Abstract
Purpose
Resources allocated to software maintenance constitutes a major portion of the total life cycle cost of a system. The enormous effect that this can have on an organization's ability to react to dynamic environments has been the primary motivation for researchers to study issues related to software maintenance. The purpose of this paper is to take stock of the research conducted in this area in order to identify the intellectual trails embodied in the coherent body of knowledge on software maintenance.
Design/methodology/approach
An author co‐citation analysis (ACA) involving authors who have made seminal contributions to the field of software maintenance was performed. The data for the study were obtained from the Science Citation Index (SCI) and the Social Sciences Citation Index (SSCI).
Findings
The results indicate that most of the software maintenance research has focused on eight areas: Program logic characteristics, Quality of processes/metrics, Effort and productivity issues, Cognitive issues in repair maintenance, Organizational Issues: Strategies for software evolution/maintenance, Object‐oriented (OO) maintenance, Domain specific language issues and Program construction and design. Research limitations/implications – Some of the limitations of this study include: exclusion of data after 2003, giving equal weight for all citations, and implicit assumption that a relationship exists between the citing and cited documents.
Practical implications
The extension of software maintenance research in the areas suggested in this study may lead to new innovations for practice.
Originality/value
The paper not only introduces new methods for meta analysis, it also suggests that opportunities abound for extending the frontiers of software maintenance research, particularly in the context of contemporary software development approaches.
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Someswar Kesh, Sridhar Nerur and Sam Ramanujan
This paper discusses various facets of quality of service (QOS), a technology that allows network managers to prioritize data to optimize bandwidth use and maintain data quality…
Abstract
This paper discusses various facets of quality of service (QOS), a technology that allows network managers to prioritize data to optimize bandwidth use and maintain data quality. Given the wide variety and high volume of data as well as bandwidth limitations on networks today, QOS has gained great importance in recent years. Successful implementation of QOS requires selecting from the wide array of models and algorithms available and careful consideration of other technical and organizational issues. Different QOS models and algorithms have been discussed to provide the network manager with an insight into these technologies that can aid in the selection of QOS models and algorithms. Various technical and organizational implementation issues, including how QOS is implemented in routers, have been discussed to assist the network manager to be aware of these issues and properly implement QOS.
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Someswar Kesh, Sam Ramanujan and Sridhar Nerur
This paper presents a framework for analyzing e‐commerce security. The framework is developed by analyzing the relationships between e‐commerce security needs, threats…
Abstract
This paper presents a framework for analyzing e‐commerce security. The framework is developed by analyzing the relationships between e‐commerce security needs, threats, technologies and tools. Organizations can use the framework to evaluate and select security for e‐commerce.
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This study aims to develop a model for coordination and communication overhead in distributed software development through case study analysis in the Indian outsourcing software…
Abstract
Purpose
This study aims to develop a model for coordination and communication overhead in distributed software development through case study analysis in the Indian outsourcing software industry. The model is based on business knowledge, which can be classified as domain, regulatory, strategic, business process and operation process knowledge as per existing literature.
Design/methodology/approach
Double case study method was used to verify an existing knowledge–management framework of software development from the literature. The stakeholders of both the cases were interviewed, and project documents were verified to reach conclusions.
Findings
The findings supported the business knowledge classification from the literature. The concept can be used to analyze the software project in a distributed environment.
Research limitations/implications
The research work findings are based only on two case studies. The study findings cannot be generalized and should be used as a learning tool. There can be large variations of project characteristics with differences in business knowledge requirements. The research shows the importance of business knowledge transfer in global software development.
Practical implications
Projects managers in the distributed software development environment can use the findings in project planning and work allocation for better control over cost and schedule, etc.
Originality/value
There is little research works attempted to study the business knowledge classification in the global software industry making the research novel.
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This study aims to provide an objective analysis of the state-of-the-art and intellectual development of publications related to event study methodology in business research.
Abstract
Purpose
This study aims to provide an objective analysis of the state-of-the-art and intellectual development of publications related to event study methodology in business research.
Design/methodology/approach
The sample includes 1,219 papers related to event study methodology, covering all business disciplines and spanning 34 years from 1983 to 2016.
Findings
Through three stages of primary analysis, namely, initial sample, citation and co-citation analyses, the authors identified the publication trends, supplementary techniques, influential publications and intellectual clusters in the area of event study methodology in business.
Research limitations/implications
The findings serve as a benchmark for the extensive literature related to event study methodology in business and may facilitate the transference of the amassed useful techniques among disciplines and the identification of future research directions.
Originality/value
The current study represents as a pioneering effort to review event study-related publications using bibliometric analysis.
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He-Boong Kwon, Jooh Lee and Ian Brennan
This study aims to explore the dynamic interplay of key resources (i.e. research and development (R&D), advertising and exports) in affecting the performance of USA manufacturing…
Abstract
Purpose
This study aims to explore the dynamic interplay of key resources (i.e. research and development (R&D), advertising and exports) in affecting the performance of USA manufacturing firms. Specifically, the authors examine the dynamic impact of joint resources and predict differential effect scales contingent on firm capabilities.
Design/methodology/approach
This study presents a combined multiple regression analysis (MRA)-multilayer perceptron (MLP) neural network modeling and investigates the complex interlinkage of capabilities, resources and performance. As an innovative approach, the MRA-MLP model investigates the effect of capabilities under the combinatory deployment of joint resources.
Findings
This study finds that the impact of joint resources and synergistic rents is not uniform but rather distinctive according to the combinatory conditions and that the pattern is further shaped by firm capabilities. Accordingly, besides signifying the contingent aspect of capabilities across a range of resource combinations, the result also shows that managerial sophistication in adaptive resource control is more than a managerial ethos.
Practical implications
The proposed analytic process provides scientific decision support tools with control mechanisms with respect to deploying multiple resources and setting actionable goals, thereby presenting pragmatic benchmarking options to industry managers.
Originality/value
Using the theoretical underpinnings of the resource-based view (RBV) and resource orchestration, this study advances knowledge about the complex interaction of key resources by presenting a salient analytic process. The empirical design, which portrays holistic interaction patterns, adds to the uniqueness of this study of the complex interlinkages between capabilities, resources and shareholder value.