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This study investigates the factors affecting Bharti Airtel's cross-border postacquisition performance in an African market. This study describes the relationships among various factors such as technical capability, affiliated firm's absorptive capacity, and organizational learning capabilities, which determine the successful operations of the Zain acquisition deal in South Africa. This paper adopts a qualitative approach to identify factors that influence the postacquisition performance. Seven factors are identified based on the literature. Consequently, it has become a necessity to encapsulate these factors in suitable proportions. In this study, we have developed a total interpretive structural modeling (TISM) to analyze the postacquisition performance of Bharti Airtel in South Africa. Our research has highlighted six dynamic factors (organizational learning capability, knowledge management, technology capability, technology relatedness, acquirer's absorptive capacity, and national culture difference) that affect the firm's postacquisition performance. The interpretive structural model (ISM) and total interpretive structural model for postacquisition performance are built-up. The developed TISM will support academics and practitioners to develop their understanding of acquisition performance of parent companies in the context of telecom business in the South African market.

PurposeThe purpose of this study is to examine the existing literature and evaluate the theories, characteristics, context and methods of alliance termination research published from 1992 to 2019. This study also aims to identify the gaps in the literature and recognize directions for future research focusing on alliance termination research.Design/methodology/approachThe main research methods followed in this study are bibliometric review, citation analysis, co-citation analysis and cluster analysis.FindingsThe main findings of this study are the most cited articles, most productive journals and most productive countries. The results show that a total of 100 research articles were published between 1992 and 2019. The maximum number of publications were observed during 2011–2019. The article “Knowledge, bargaining power, and the instability of international joint ventures” (Inkpen and Beamish, 1997) was the most cited article and the “Academy of Management Review” was the most prominent journal, with 847 citations. The USA, France, the UK, Singapore and Canada are the most productive countries. The study also includes the analysis of the network of co-citation of references and co-occurrence of keywords in the context of alliance termination research.Originality/valueTo the best of authors’ knowledge, this study seems to be the first to perform bibliometric review and analysis in the area of alliance termination research. Therefore, it can help academicians and practitioners to identify the research trends and gaps in the alliance termination literature on which future research can be performed. Overall, this research paper leads to a better understanding of the alliance termination research and offers new insights into strategic management studies.

PurposeIn 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.Design/methodology/approachIn 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.FindingsA 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.Research limitations/implicationsFor 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.Originality/valueThis 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.

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