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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.

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.

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.

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 study is twofold. First, this study elaborates an integrative conceptual framework of tourism destination competitive productivity (TDCP) by blending established destination competitiveness frameworks, the competitive productivity (CP) framework and studies pertaining to big data and big data analytics (BDA) within destination management information systems and smart tourism destinations. Second, this study examines the drivers of TDCP in the context of the ongoing 4th industrial revolution by conceptualizing the destination business intelligence unit (DBIU) as a platform able to create sustained destination business intelligence under the guise of BDA, useful to support destination managers to achieve the tourism destination’s economic objectives.

In this work, the authors leverage both extant literature (under the guise of research on CP, tourism destination competitiveness [TDC] and destination management information systems) and empirical work (in the form of interviews and field work involving destination managers and chief executive officers of destination management organizations and convention bureaus, as well as secondary data) to elaborate, develop and present an integrative conceptual framework of TDCP.

The integrative conceptual framework of TDCP elaborated has been found helpful by a number of destination managers trying to understand how to effectively and efficiently manage and market a tourism destination in today’s fast-paced, digital and hypercompetitive environment. While DBIUs are at different stages of implementation, often as part of broader smart destination initiatives, it appears that they are increasingly fulfilling the purpose of creating sustained destination business intelligence by means of BDA to help tourism destinations achieve their economic goals.

This work bears several practical implications for tourism policymakers, destination managers and marketers, technology developers, as well as tourism and hospitality firms and practitioners. Tourism policymakers could embed TDCP into tourism and economic policies, and destination managers and marketers might build and make use of platforms such as the proposed DBIU. Technology developers need to understand that designing destination management information systems in general and more specifically DBIUs requires an in-depth analysis of the stakeholders that are going to contribute, share, control and use BDA.

To the best of the authors’ knowledge, this study constitutes the first attempt to integrate the CP, TDC and destination management information systems research streams to elaborate an integrative conceptual framework of TDCP. Second, the authors contribute to the Industry 4.0 research stream by examining the drivers of tourism destination CP in the context of the ongoing 4th industrial revolution. Third, the authors contribute to the destination management information systems research stream by introducing and conceptualizing the DBIU and the related sustained destination business intelligence.

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.

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.

Culture has been identified as one of the main drivers of the “competitive productivity” (CP) of nations. However, research studies examining the relationships between culture, competition and productivity are highly fragmented across different streams of literature, leaving researchers with a lack of a holistic view of the topic. This study reviews research studies that examined the relationships between culture and productivity and between culture and competitiveness, as well as the joint relationships between culture, productivity and competitiveness in leading economic, business and management journals in the period 2009–2018 in order to identify research gaps and opportunities for future research.

The authors used a combination of bibliometric analysis using VOSviewer, text analysis using Leximancer and systematic review by expert reviewers to analyze 293 articles that consider culture, productivity and competitiveness published in leading business, management and economics journals in the period 2009–2018.

The findings indicate that, although productivity and competitiveness are often discussed jointly in some policy circles, research studies on the roles of culture on productivity and on competitiveness take place in quite different streams of academic literature, drawing on different sets of concepts and theoretical frameworks. The concept of innovation appears prominently in both sets of the literature as an antecedent of both productivity improvement and international competitiveness.

The findings highlight the need for more research studies which jointly examine culture, productivity and competitiveness and the relationships between them.

To the best of the authors’ knowledge, this study is among the first attempts to systematically analyze the literature on the relationship between culture and CP.

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.