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This study aims to identify the antecedents of strategic thinking and its relationship with competitive advantage. Further, this study analyses the mediating effect of strategic thinking between its antecedents and competitive advantage.

A self-reported questionnaire with 51 questions was floated among 220 professionals from various industries in India. The response was analysed using the partial least squares-structural equation modelling methodology using SmartPLS software.

The direct effect of creativity, corporate culture and knowledge management are established with strategic thinking, as well as a competitive advantage. Also, the study finds a significant relationship between strategic thinking and competitive advantage. The study finds no mediation (direct effect) in the case of creativity, corporate culture and knowledge management. Further, no mediation (no relationship) is found in the case of vision.

Business must start adopting strategic thinking practices in their decision-making process to create a competitive advantage. Further, the influence of corporate culture, creativity and knowledge management on strategic thinking highlights their importance.

The study establishes the impact of antecedents of strategic thinking on competitive advantage. The study highlights the importance of other factors along with strategic thinking for achieving competitive advantage.

This study aims to derive a sound definition of strategic thinking by horizontal analysis of past research and discussions with professionals.

The research design includes three broad stages: item generation, scale development and assessment of scale’s psychometric properties.

The eclectic composition cuts across vocations, religions, sex and age strengthen the flexibility of application of the scale. The resulting scale shows strong psychometric properties and is expected to be useful for academics, practitioners and organizations alike.

The information on strategic thinking was self-reported through strategic thinking questionnaire (STQ) and is consequently at risk to be influenced by self-bias.

Using the scale of strategic thinking will empower strategic thinkers to draw a more extensive scope of strategies at all levels. This will additionally bring about higher-quality procedures, increased performance and greater competitive advantage.

The study represents to be an imperative predecessor to strategic decision-making and may give a key to better comprehend authoritative change marvels and at last survival.

As the sample for our STQ has been collected from all across the country cross-sectioning different culture, gender and position of responsibility, the scale has significant robustness and implicative potential.

This study aims to identify the critical factors contributing to India-based non-governmental organizations (NGOs) capacity building and value creation for beneficiaries.

A total interpretive structural modeling technique has been used to develop a hierarchical model of critical factors and understand their direct and indirect interrelationships. The driving force and dependence force of these factors were determined by using cross-impact matrix multiplication applied to classification analysis.

This study identifies 12 critical factors influencing NGO capacity building in India’s intellectual disability sector across four dimensions. Internal organizational capabilities include infrastructure, staff qualifications, fundraising, vocational activities and technical resources. Second, coordination and stakeholder engagement highlight government and agency collaboration, dedicated board members and stakeholder involvement. Third, adaptability and responsiveness emphasize adjusting to external trends and seizing opportunities. Finally, impact and value creation emphasis on improving value for persons with disabilities (PWDs).

The findings of this study have practical implications for Indian NGOs working for PWDs. The study provides NGOs with a structural model for improving organizational capacity by identifying and categorizing critical factors into the strategic model.

There is a scarcity of literature on capacity building for disability-focused NGOs in India. This study seeks to identify critical factors and develop a hierarchical model of those factors to assist policymakers in India in building the capacity of NGOs.

Performance has been a significant concern of the international joint ventures (IJVs) literature. This paper aims to empirically capture the impact of firm-level factors on IJVs performance in India. The authors investigate the mediating effects of ambidexterity between the factors and IJVs performance. Additionally, environmental dynamism as a moderator between ambidexterity and IJVs performance is examined.

This study performs structural equation modeling using the data of 501 IJVs between India and G7 nations from 2010 to 2020.

The result reveals the ambidexterity's mediation effects in the relationships between factors (technology transfer and flexibility) and IJVs performance. Furthermore, the findings indicate that a highly dynamic environment moderates the relationship between ambidexterity and the performance of IJVs.

This study has investigated the nexus between technology transfer, flexibility, ambidexterity and IJVs performance in the context of Indian IJVs. It has highlighted the importance of firm-level factors in cross-cultural joint ventures in achieving performance.

The study establishes the impact of firm-level antecedents on IJVs performance in India. The study highlights the importance of ambidexterity and environmental dynamism in order to achieve IJVs performance.

This paper aims to explore the interaction between knowledge management (KM) and dynamic capabilities (DCs) to identify the factors that attribute to their integration. The amalgamation of the DC and KM will result in a firm’s superior performance. This study will, therefore, use meta-analysis to identify the factors and use the “total interpretive structural modelling (TISM)” to establish the hierarchy and inter-relationships concerning the identified factors.

The research in this paper uses an exploratory design. This entails reviewing the literature on KM and DCs by adopting a scientific methodology, i.e. meta-analysis. A structural interpretive framework has been developed based upon the identified factors. Further, TISM modelling has been used to develop a classified arrangement of these factors to validate the framework.

Overall, 15 factors related to KM and DCs, based upon 220 empirical studies have been identified. The validated framework, based upon heterogeneous factors, describes how the interactions between KM and DCs can facilitate a competitive advantage.

This study contributes towards the discussion of how efficient management of knowledge is defining the DCs of firms for improved innovation and performance. It provides practitioners with an insight into the directional linkages towards the competitive performance based on the interactions of KM and DCs. For researchers, the study could serve as an initial outline for interpretation of the linkages and theory building concerning KM and DCs, as the proposed framework draws upon scientific review and expert interpretations.

The framework is the result of the qualitative modelling technique based upon the heterogeneous factors derived out of the meta-analysis. It will provide meaningful insight into the field of KM and DCs. The derived framework shall help corroborate the opinion of experts with the literature in the field of strategy and management.

This paper aims to explore dynamics of post termination interaction between international joint venture (IJV) partners and empirically examines IJV level and dyad level factors that influence the choice of post IJV termination interaction as supplier, complement or competitor.

In-depth literature review is undertaken to identify IJV and dyad level that could influence the choice of post termination interaction between terminated IJV partners. Hypotheses are empirically validated using multinomial logistic regression on data collected on terminated IJV headquartered in India.

The results denote that the choice of post-IJV termination interaction between IJV partners as supplier, complement or competitor is influenced by interdependence, bargaining power, foreign partner’s purpose of IJV, complementarity and type of IJV termination.

This paper explores an under researched area in extant IJV literature that could be taken up for study by academicians. The paper upholds and strengthens the dynamic capabilities view of strategic management in IJV context.

This paper examines a practice adopted by businesses in emerging markets and determines important factors that influence the choice of interaction post IJV termination between partners. Practitioners will be encouraged to understand and plan post termination dynamics with their terminated IJV partner.

The paper undertakes examination of a practical business phenomena, i.e. interaction post termination between terminated IJV partners.

This study explores the variables that drive the impact of artificial intelligence (AI) on the competitiveness of a tourism firm. The relationship between the variables is established using the modified total interpretive structural modelling (m-TISM) methodology. The factors are identified through literature review and expert opinion. This study investigates the hierarchical relationship between these variables.

The modified total interpretive structural modelling (m-TISM) method is used to develop a hierarchical interrelationship among variables that display direct and indirect impact. The competitiveness of a tourism firm is measured by investigating the effect of variables on the firm's financial performance.

The study identifies ten key factors essential for analysing the impact of AI on a firm's competitiveness. The m-TISM methodology gave us the hierarchical relationship between the factors and their interpretation. A theoretical TISM model has been constructed based on the hierarchy and relationship of the elements. The elements that fall in Level V are “AI Skilled Workforce”, “Infrastructure” and “Policies and Regulations”. Level IV includes the elements “AI Readiness”, “AI-Enabled Technologies” and “Digital Platforms”. Elements that fall under Level III are “Productivity” and “AI Innovation”. Level II and Level I comprise “Tourist Satisfaction” and “Financial Performance”, respectively. The levels indicate the elements' hierarchical level, with Level I the highest and Level V the lowest.

Tourism and AI scholars can analyse the given variables by including the transitive links and incorporate new variables depending upon future research. The m-TISM model constructed from literature review and expert opinion can act as a theoretical base for future studies to be conducted by researchers.

Management/Practitioners can focus on the available characteristics and capitalise on them while working on the factors lacking in their organisation to enhance their competitiveness. Entrepreneurs starting their own business can utilise the elements in understanding the ecosystem of strengthening a firm's competitiveness. They can work to improve on the aspects which are crucial and trigger the impact on competitiveness. The government and management can devise policies and strategies that encompass the essential factors that positively impact the competitiveness of the firms. The approach can then be looked at with a holistic approach to cater to the other related components of the tourism industry.

This study is the first of its kind to use the modified TISM methodology to understand the impact of AI on the competitiveness of tourism firms.

The study aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the inter-partner factors. International joint ventures (IJVs) literature has scantly studied the interactions and inter-relationships among the inter-partner factors of IJVs performance. To address this gap, this research creates a hierarchical relationship framework among the inter-partner factors of IJVs performance.

The comprehensive literature review is used to identify the factors and possible relationships between the factors and IJVs performance. M-TISM (modified total interpretive structural modelling) methodology is used to examine the relationship among the factors of IJVs performance.

This study highlights 12 inter-partner factors that affect IJVs performance. The results suggest that size asymmetry, commitment, goal incongruency, competitive overlap, trust, control, the interdependency of resources, cooperation, economic distance, cultural distance, geographical distance and administrative distance significantly impact IJVs performance. Commitment is found to be a linkage variable as it has high dependence and driving power. Goal incongruency and competitive overlap have high driving power.

This study gives a proposed list of critical inter-partner factors for policymakers and practitioners to consider when developing rules or recommendations to improve IJVs performance. The focus of policymakers should be on economic and geographical distance, followed by cultural distance, competitive overlap, goal incongruency, size asymmetry and administrative distance to improve inter-relationship among the partners in IJVs. The work contributes to the academician by presenting a modified TISM model that highlights the significance of ambidexterity in driving the performance of IJVs.

This study fills a gap in the literature by analysing the interactions among the inter-partner parameters that influence the performance of IJVs. It offers insights into the variables, such as driver dependence and the relationships between the variables.

The purpose of this paper is to conduct a structured review of the literature on the factors affecting the strategic thinking of an organization. This study offers some theoretical insights by analysing the divergent or analogous views of authors on these factors by analysing the empirical studies carried out in the literature.

An empirical method of conducting a structured literature review has been adopted in this study. Theory context characteristic methodology framework and meta-analysis are the methodologies applied to analyse the different empirical studies conducted in the literature and determine the variation or similarities in the views of authors over the same factor based on their effect sizes. This study analyses over 45 different empirical studies in the literature conducted on the factors affecting strategic thinking.

This study explains how the factors have been similarly or differently explained by the authors in the literature. This analysis gives a better understanding of the factors affecting strategic thinking and quantitatively amalgamates the current empirical studies carried out in the literature. The effects sizes generated for each factor helps in determining the homogeneous or heterogeneous nature of the factor.

The study is limited only to analyse the homogeneity or heterogeneity of the factors affecting strategic thinking at an organisational level. This study can be further extended by analysing the type of effect these factors have on the strategic thinking of the organisation.

The findings of this study identify the homogeneity or heterogeneity of the factors affecting strategic thinking in an organisation. This helps the top management to concentrate on these factors, which might develop a strategic thinking nature in the organisation, leading to the better formation of strategies, and successfully implement them in their businesses.

The study fills the unattended gaps in the literature by analysing the homogeneous and heterogeneous nature of the factors affecting the strategic thinking of an organisation.

This study aims to identify critical factors and examine their impact on alliance performance from an organizational learning point of view.

A modified total interpretive structural modeling (M-TISM) methodology was used in this study. The different paths/links in the developed M-TISM model were further validated by using the Mahindra-Ford alliance case study.

In this study, a total of seven critical factors were identified using an extensive literature review, and a hierarchical model was developed. Results show that prior alliance experience, inter-partner learning, knowledge transfer, absorptive capacity and knowledge internalization have a positive on the alliance productivity and performance. Furthermore, the findings indicate that prior alliance experience remains essential for alliance productivity and performance, while knowledge transfer and absorptive capacity can contribute to inter-partner learning and knowledge internalization in strategic alliances.

This study can help managers and policymakers to understand the identified critical factors from an organizational learning perspective and understand their impact on the alliance performance in a competitive environment. The managers should know that previous alliance experience, learning from partner firms, building an absorptive capacity, etc., are necessary to achieve superior alliance productivity and performance. For academicians, the M-TISM methodology used in this study can provide a mechanism to perform exploratory research and build a hierarchical model in different management research fields.

The study fills research gaps by identifying key factors, developing a hierarchical model, and examining their impact on the performance of strategic alliances in the Indian automotive industry.