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Today, information technology (IT) is of utmost importance to organization’s competitiveness and viability. But various empirical studies give different results about IT and productivity in organization. This project focuses on relation between IS investment and organizational productivity, and impact of other contextual factors on IS productivity. In this study, various dimensions and their indicator variables are identified from literature and hypothetical research framework for IS productivity is developed. This model is empirically validated using structural equation moelling for path analysis. The results indicate positive relation of IS investment with productivity and organizational impact, whilte complementary investment, state of IS and firm characteristics also found to have significant impact on IS productivity.

Research has shown that it is not easy to associate information technology (IT) and knowledge management (KM) with business performance. The paper aims to propose that this difficulty of associating IT and KM with business performance can be extrapolated to project management performance.

Given that research integrating all three disciplines – IT, KM, and project management – is sparse, the authors use an inductive and grounded approach, complemented by past research findings, to develop a research model. They developed a model using the interpretive structural modeling (ISM) methodology, and employed ISM because it helped to not only integrate both qualitative and quantitative variables but also allowed the authors to capture the shared mental models of practitioners – who formed the empirical basis of this research.

The paper shows that the drivers of project management (PM) effectiveness can be categorized into distinct groups – of which some are easier to manage compared to the others

The authors current study is limited to one organization and therefore, the generalizability of this research is limited. Future research efforts should expand this study to more organizations and in various geographical locations to validate and obtain generalizable results.

The paper helps the reader to understand the role of IT and KM in the context of improving project performance.

Given that it is difficult to establish monetary benefits for KM initiatives, this paper aims to present a model that consists of a set of enablers and barriers for successful KM implementation to obtain desired results. The contributions of the research effort should also support organizations in making decisions about improving organizational performance using KM initiatives, and understanding the directional relations among KM factors.

In the research study, using a literature review, the authors identify a set of enablers of and barriers to successful KM implementation. Using this set of factors, a questionnaire is developed by applying the interpretive structural modeling (ISM) methodology to determine the underlying relations among these factors and to develop strategies for the successful implementation of KM initiatives. As a result of the ISM methodology, the paper presents a model to show its findings.

The research study findings help to identify important strategies for implementing KM successfully. Further, the study suggests methodologies for KM implementation.

Knowledge is recognized as a critical resource to gain and sustain competitive advantage in business. While many organizations employ knowledge management (KM) initiatives, research studies suggest that it is difficult to establish return on investment of such efforts; however, desired results can be obtained through successful implementation. The paper presents approaches to successful KM implementation.

The use of information technology in rural and underserved settings is receiving increasing attention because of the immense potential it brings for improving the quality of life and reducing the digital divide. However, high costs coupled with infrastructure and context‐related inhibitors tend to dilute the advantages that are often taken as a set of givens. In this paper we present a case study of a pioneering experience of information system use in a set of villages in southern India. The research proposition for this study is that social processes can form a viable basis for providing sustainability to information communications technology (ICT) initiatives in rural regions. Theoretical support for this study comes from Habermas’ theory of communicative action. Given that such information systems are emancipatory in nature, and given that such information systems face many obstacles, the value added by these systems needs to be assessed in terms of their contribution to social capital in addition to economic value added. Our analysis reveals that social processes can be leveraged to accord viability to ICT setups in rural settings. Many social changes, that may have faced resistance or were unexpected, themselves became the reason for keeping the ICT setup. This is so because these changes form the basis of empowerment and a participatory framework that would have been absent earlier. We provide implications for researchers as well as practitioners.

This study aims to identify a set of criteria to assess the effectiveness of knowledge management (KM) and to understand how these criteria inter‐relate with one another. From a research and practitioner's perspective, the study seeks to study how to expand these criteria to develop measures.

The research methodology is based on literature review to determine a list of KM outcomes followed by the Delphi technique and survey questionnaire methods. The findings of the Delphi were used to supplement literature review findings. Both these results were used to develop the survey questionnaire. Survey‐based research, which used a questionnaire targeting knowledge management professionals as respondents, was aimed at establishing criteria for assessing knowledge management success.

Using the criteria based on survey results, a computer‐assisted model is used to understand the shared underlying organizational framework in which KM operates and to identify how these criteria were linked. These relations should be explored and utilized to improve organizational performance.

Some of the limitations of this original research are limited number of experts participating in the study. Also, about 48 percent of the survey respondents represent for‐profit organizations and thus, research results may be biased towards for‐profit organizations. Future research should focus on translating the soft measures of knowledge management into detailed metrics.

This is an academic research paper providing information on the underlying relations among KM outcomes.

The purpose of this paper is to build a comprehensive structural model to demonstrate the interrelationships of factors influencing social networking service (SNS) fatigue and to identify the varying degrees of influence.

A total of 14 factors influencing SNS fatigue are identified through an extensive literature review. Interpretive structural modeling (ISM) and Matrice d'Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) analysis are employed to build a hierarchical model and classify these factors into four clusters.

The results revealed that ubiquitous connectivity and immediacy of feedback are key factors contributing to SNS fatigue through their strong influence on other factors. Privacy concern, impression management concern and work–life conflict lead directly to SNS fatigue. In contrast, system feature overload and system pace of change are relatively insignificant in generating SNS fatigue.

This study represents an initial step toward comprehensively understanding the interrelationships among the factors leading to SNS fatigue and reveals how determinants of SNS fatigue are hierarchically organized, thus extending existing research on SNS fatigue. It also provides logical consistency in the ISM-based model for SNS fatigue by grouping identified factors into dependent and independent categories. Moreover, it extends the applicability of the integration of the ISM and MICMAC approaches to the phenomenon of SNS fatigue.