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The purpose of this paper is to advance our understanding of competitiveness. The authors introduce the concept of Competitive Productivity (CP), supplementing shortcomings of traditional understandings of national, organisational and individual productivity which overlook the nature of competitiveness, i.e. outperforming the competition, or at least bettering one’s own performance. The authors offer definitions, components and construct measurements of CP at three levels: macro, meso and micro.

A review of the literature was conducted to evaluate the need for combining productivity and competitiveness into one new construct. There are theories that combine these ideas – e.g., the resource-based theory of the firm – but the authors are presenting these concepts differently, or in a novel way. The authors’ focus on CP makes necessary a new group of construct measures which are different from that of the strategy literature: the authors measure an agent’s tendency “to be better than the competition” along multiple dimensions. Based on the CP construct, the authors present three testable models to uncover determinants of CP at three levels (macro, meso and micro). Finally, the work around “emergent property” can be applied to examine CP itself as being a determinant for other higher-order outcomes such as welfare, profits and life satisfaction. CP forms a platform to explore likely interplay (bottom-up and/or top-down mechanisms) within the micro–meso–macro architecture.

Three CP models were developed and are briefly discussed in this paper: first, a National Competitive Productivity (NCP) model to capture the components/drivers of national CP (macro level). Second, a Firm Competitive Productivity (FCP) model to capture the components/drivers of firm CP within an industry context (meso). And finally, an Individual Competitive Productivity (ICP) model capturing the components/drivers of CP at the individual (micro) level.

The study provides a combined approach to capture productivity and competitiveness within one innovative concept: CP. It can be used by government and policy makers (NCP model), managers and organisations (FCP model), and individuals such as workers and students (ICP model) to evaluate and enhance their performance. A better understanding of the components/drivers of CP at the three levels and the suggested measurement of CP should provide a stronger theory of competitiveness of nations, firms and individuals. Not least should a focus on the three levels (macro, meso and micro) better prepare citizens, firms, workers and students to effectively function and work in the marketplace and in society. The authors’ work should eventually contribute to more effective benchmarking and continuous improvement in the competitiveness domain. Crucially, this conceptual paper forms the foundation for future empirical testing of CP components in the context of the relative values and moderated behaviour as captured by the ReVaMB model.

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.

This study aims to develop the concept of competitive productivity focussing on the interplay between national competitive productivity (NCP) and firm competitive productivity (FCP) based on the following research question: how does the competitive productivity framework explain the influence that government has on public–private procurement programmes?

A case study is conducted on the South African Renewable Energy Independent Power Producer Procurement Programme. Data were collected using an exploratory, mixed methods design, starting with national level secondary data on five bid windows between 2011 and 2014, followed by eight in-depth qualitative interviews with industry experts.

The findings indicate that non-financial factors, such as trust (through consistent and transparent government policy) as well as a pragmatic attitude on the part of government, increased competition and ultimately resulted in a productive procurement process.

By understanding what moderating factors influence competitiveness in African procurement programmes, using competitive productivity (CP) as a framework, the research contributes to development of government policy and procurement programmes. Incidentally, there is little doubt that improving infrastructure and in turn a greater percentage of access to electricity leads to increased competitiveness of the nation, firms and individuals, thus enabling companies to grow and operate with more stability.

Originality is demonstrated through the interplay of NCP and FCP, where the constructs of culture, benchmarking and performance were found to have the strongest influence of the six constructs of the CP model.

This study identified essential drivers of competitive productivity (CP) within the restaurant context at the meso-micro levels. Following evidence from previous research, this paper aims to discover if the relationships between the proposed drivers and restaurant competitive productivity (RCP) would differ based upon years in operations as a restaurant business (startup vs established).

Data analysis was conducted using responses obtained from US restaurant managers. Structural equation modeling assessed the hypothesized relationships. Additionally, multi-group analyses were conducted to test the proposed moderating roles of restaurant firm age within the proposed model.

Results documented that competitive personality, development and motivation were positively associated with employee competitive productivity (ECP) at the micro-level. Also, ECP, employee training, resource rareness, brand image and organizational culture were significantly and positively related to RCP at the meso-level. Additionally, the positive relationships between ECP and organizational culture, and RCP were greater in the established restaurant group compared with the startup group. However, the relationship between brand image and RCP was greater in the restaurant startup group than in the established group.

This study offered empirical evidence regarding a combination of meso and micro level drivers and their roles in improving RCP. Findings can be adopted to develop effective operational strategies to improve RCP.

Although RCP is critical and is proposed to be created by a comprehensive set of drivers considering organizational (meso-) and individual (micro-) situations, no literature has yet to adopt this comprehensive approach to assess RCP. This study focused on firm age and offered new knowledge about the need for developing specific strategies to improve RCP.

The paper presents an investigation into the validity and robustness of the concept of competitive productivity (CP) using linguistic analysis and theory to explore the foundational CP concepts and the relationships between them.

The aim of this paper is to make a theoretical contribution to the conceptualisation of CP in order to inform its understanding, measurement and application.

The investigation indicates the relevance of three dimensions (instantiation, stratification and system) to understand CP as a complex, multidimensional system. Instantiation both clarifies CP as a multilevel system and highlights the need for an additional dimension(s) to understand the relationship between national, firm and individual CP (NCP, FCP and ICP). In combination, the two dimensions of stratification and system model CP as a series of nested strata (theory/models, concepts, constructs, variables and measures) through which marketing and management theory and knowledge is created and demonstrate how the options at each level can be articulated as system networks.

Managing the complexity of CP by mapping different aspects along different dimensions and, in doing so, better understanding the nature of and relationships between different phenomena within the domain can potentially inform future qualitative and quantitative research in business studies and beyond.

The paper uses a novel, interdisciplinary approach to demonstrate the existence of CP as a complex, multidimensional system, where such dimensions inform the understanding, measurement and application of CP, and so is of value to marketing and management researchers and practitioners.

The research purpose is to conceptualize competitive productivity (CP) in the peer-to-peer (P2P) accommodation businesses. This study aims to conceptualize the four driving forces of P2P hosts’ CP and to empirically capture guest-based equity that supports such conceptual hosts’ CP model.

The goal of this paper is to apply Bauman’s Firm competitive productivity (FCP) model to the P2P accommodation business to conceptualize the CP of micro-entrepreneurial hosts. Four areas of the FCP model were reviewed to find how each of them contributes to the P2P hosts’ CP maximization.

Host talent, host resource management, value and host branding were conceptualized as key drivers of P2P hosts’ CP. The study also filled a gap in current literature by empirically analyzing online reviews to successfully capture key guest-based equity as satisfiers contributing to host talent, resource and branding.

Based on the hosts’ CP model, customer-generated resources play a significant role in the managerial implications, so that guest reviews with needs and wants and ratings can be empirically used to strengthen hosts’ CP under specific market circumstances.

This study is the first attempt to conceptualize a P2P host as a micro-entrepreneurial firm in the sharing economy platform for CP. This study looked at how the unique characteristics of the P2P accommodation industry and guest-based equity affect the P2P hosts’ CP.

The purpose of this paper is to explore the impact of decision model innovation (DMI), set on the decision-making support for the customers, on customer satisfaction and the firm’s competitive productivity (FCP).

This study operationalizes the concept of DMI by developing a decision support journey (DSJ) model for the airport industry, using the case of Zurich Airport and its ecosystem. This paper then explores how this DSJ impacts the FCP of Zurich Airport.

This study finds that applying DMI shows potential to improve talent management, resource management and corporate culture, leading to a higher FCP. By centralizing the decision-making process of its customer and decision support, executives gain essential insights into the actual needs of their customers. This enables firms to adapt their products and services to the actual needs of the customer, which leads to higher performance.

This study explores the complementarity between DMI and FCP, exploring how operationalizing the concept through DSJ impacts FCP elements, including talent management, resource management and overall corporate culture. This extends extant work on improving non-aeronautical revenues in dynamic environments within airport ecosystems as a converging industry setting.

Existing airport digital applications providing minimal support should be expanded to provide an interaction and exchange platform for airport ecosystem players and customers. This paper finds that the firm adopting DMI in the airport/airline industry can set up a win-win situation to achieve competitive productivity by providing decision-making support and valuable insights to its customers.

This study is among the first to apply DMI toward improving FCP in the airport industry. It treats airports as an ecosystem of converging industries that can benefit by incorporating customer-focused digitally-enabled solutions to improve decision-making and customer satisfaction.

This study aims to explore the interface of competitive productivity (CP) levels in times of turbulence.

Drawing from a sample of 507 Athenian holidaymakers, the study uses a fuzzy-set qualitative comparative analysis (fsQCA) to examine the chaordic systems amongst perceived risks (social; destination; price; quality) in tourism purchasing intentions. It considers three grouping variables (age; monthly income; trip [domestic; overseas]). It further evaluates the effect sizes of those risks upon purchasing intentions by complementary using necessary condition analysis (NCA).

fsQCA revealed three sufficient configurations: price-quality nexus (micro); generated experience (meso) and perceived destination image (macro). NCA showcased that the effect size of the examined perceived risks is relatively low, while destination risks have the highest impact.

Only a few studies use fsQCA and NCA in the field of tourism and hospitality studies thus, their full potential and implications of exploring the interface of tourism decision-making components with CP levels are still unexplored.

This is the first study examining the nonlinearity of risk-induced decision-making triggers of holidaymakers affected by the recession in line with the principles of CP. Its theoretical contribution lays in the exploration of the interface of CP and its three levels of application (micro [tourist], meso [firm/business], macro [destination]) in times of turbulence. Managerially, it strengthens the assumption that CP and customer loyalty are strongly associated even in times of turbulence when destinations and firms should make a strong point to maintain their competitive edge. Methodologically, the study highlights the value of fsQCA for identifying multiple pathways, a relatively new method in tourism. Furthermore, it introduces NCA, a new complementary method in tourism research.

The purpose of this study is to explore how hotels evolve their dynamic capabilities to adjust their technology-based strategy to improve performance and to gain competitive productivity (CP) during the COVID-19 pandemic and in the aftermath.

In-depth interviews with hoteliers were conducted to unveil their dynamic capabilities amid the pandemic as regard adjustments and performance of self-service technology (SST)-based strategies. Thematic analysis was used to analyze the data.

Data analysis revealed four types of dynamic capabilities (i.e. sensing, learning, integrating and coordinating capabilities). Equipped with these capabilities, hotels made minor adjustments to their SST strategies. In general, during an economic downturn, hotels refrained from introducing new SSTs. SSTs introduced before the pandemic were used more frequently and received enhanced customer feedback. The findings further revealed that the factors influencing hotels’ application of SSTs before and after the outbreak of COVID-19 remained similar.

This is the first research integrating CP, dynamic capabilities and strategic management process to explain how hotels adjust technological strategies to recover in a suddenly changed environment. Such a framework enables scholars and practitioners from content-oriented and process-oriented perspectives to make quick but sound strategic management decisions in adapting to turbulent environments. This timely study enriches the expertise of using technology as a recovery strategy and contributes to future research on the practical application of SSTs and crisis management.