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The innovation of business model (BM) is a strategic process for many firms, from which depends competitiveness and sustainability. Despite its theoretical relevance in management sciences, research on business model innovation is in its infancy and lacks of research consistency and theoretical connections to the theme of “performance”. With the aim to contribute in bridging this gap, this paper aims to identify and analyse drivers of business model innovation performance.

This research is based on an integrative literature review methodology.

BMI performance drivers are conditions related to various dimensions (i.e. processes, resources, market, BM structure, etc). that, when fulfilled, allow the BMI to have higher performance. BMI performance drivers are antecedents of BMI performance, and their identification is of both theoretical and practical value. The authors find and report a set of 35 BMI performance drivers.

The value of this research is both theoretical and practical. From a theoretical point of view, the identified “Business Model Innovation performance drivers” define and identify a variable of BMI performance, from a practical perspective, and they provide a comprehensive set of key conditions whose attainment should be planned, pursued and monitored by managers.

This study aims to understand how businesses can contribute to the achievement of the UN sustainable development goals (SDGs) by implementing Local Agenda 21 (or equivalent) plans in partnership with other organizations situated in their city. To this end, the present study examines drivers and outcomes from the perspective of business partners, as well as their relationships to the SDGs.

Through a mixed-methods approach this research studies 71 businesses from four large cross-sector partnerships formed to achieve local sustainability goals. Data were collected through a survey to determine why firms partner and what outcomes they obtain from partnering. Qualitative content analyses are used to determine the relationships between business drivers and outcomes from partnering for local sustainability and the SDGs.

From a resource-based view (RBV) perspective, findings show the value of local sustainability partnerships in relation to the SDGs. Many SDG targets are aligned with the top reasons why businesses join large community sustainability partnerships. Also, through the outcomes achieved by participating in the partnership businesses can further the SDGs.

This research contributes to the literature and to practice through the understanding of businesses partnering for local sustainability, and its relationships to global sustainability. Firstly, the connections of business partners to local and global sustainability are better understood. Of note is the contribution made to the literature on sustainability-related drivers and outcomes expanding and refining RBV literature. Secondly, a positive connection has been established between businesses and the SDGs, proposing a virtuous model of relationship that summarizes the findings from this research. And thirdly, large cross-sector social partnerships are better understood.

Small- and medium-sized enterprises and large corporations with local offices can further both local and global sustainable development by engaging in local cross-sector sustainability partnerships.

These research findings are crucial for those leading sustainability initiatives, so they can engage businesses actively in light of the important role they play in society improving their contributions and the chances for sustainability partnerships to achieve their goals.

This research contributes to the scale conversation by exploring community sustainability partnerships as a means to understand how business engagement in sustainability at the local level can contribute to the achievement of the SDGs and, ultimately, to global sustainability.

This paper aims to investigate how value drivers of internet medical business model affect value creation through a configurational approach. The internet medical business model (IMBM) is such a business model that integrates online and offline medical services with the driving force of internet technologies covering prediagnosis, in-diagnosis and postdiagnosis. The outbreak of COVID-19 and the support of national policies have boosted the development of internet health care. However, there are still many challenges in practice, such as the unclear innovation path, as well as difficulties in landing and profiting. Academic research has not yet provided sufficient theoretical insights. Therefore, to better explain and guide practice, it is urgent to clarify the innovation path and mechanism of value creation for IMBM.

Based on the sample of 58 internet medical firms in China, this paper adopts fuzzy-set qualitative comparative analysis (fsQCA) to explore the configurational effects of IMBM’s value drivers on value creation.

Building on the business model canvas and the characteristics of internet health care, five value drivers of IMBM are identified, namely, functional value proposition, emotional value proposition, user involvement, resource capabilities and connection properties. And the five value drivers form three configurations, which are, respectively, labeled as resource-driven configuration, user-operated configuration and product-combined configuration. From the perspective of the integration of traditional and emerging theories, such as resource-based view, internet economics and value cocreation, each configuration leads to value creation and improves value results with different mechanisms behind it.

First, combined with the business model canvas and the characteristics of internet health care, this paper identifies five value drivers of IMBM, thus improving the relevant research on internet health care. Second, based on the configurational effects, this paper discusses the mechanism behind the configurational effects of IMBM’s value drivers on value creation, thus expanding relevant research on the value creation of business models. Third, applying fsQCA and combining the advantages of qualitative research and quantitative research, this paper adds to the configurations of IMBM’s value drivers that achieve high-value results.

Although e‐procurement has been adopted in many industries, the business case for this technology has only partially been explored in the literature. This paper aims to investigate, through a case study approach, the extent of the business case developed for e‐procurement adoption in three implementations.

The paper employs a case study method and examines three industrial firms through in‐depth interviews with managers involved in the projects. The cases were presented and explored individually, followed by identification of relevant drivers and problem factors.

The research identifies 18 drivers which can form the basis of a business case for e‐procurement. A further 17 problem factors are presented, which have the potential to militate the original case. It is apparent that the firms involved only developed a limited case for adoption and that there is a significant element of faith that the eventual results will justify the investment.

A framework of the business drivers for e‐procurement is introduced, in the form of a multi‐attribute hierarchy. This framework can assist managers to classify relevant issues in assessing and developing the case for e‐procurement adoption.

Whilst the literature offers theoretical benefits for e‐procurement, the paper provides managers and researchers with empirical evidence of the drivers for this technology and of the problems encountered in implementation.

This study aims to undertake a review of the circular economy (CE) and business model (BM) literature by conducting a thematic analysis and developing a framework.

To address the research questions, a systematic literature review was conducted. Finally, 106 publications were chosen based on two main criteria.

The authors performed an athematic analysis of CE drivers. This analysis identifies five key areas: environmental, economic, social, regulatory and institutional factors, as well as emerging approaches for addressing CE drivers. A framework for the circular economy business model (CEBM) has been developed by integrating BM value dimensions and three primary CE strategies, including closing, slowing and narrowing resource loops. Additionally, the authors’ framework considers the CEBM’s sustainability impact in emerging economies.

This study is limited in two ways: one is inherent in the concept of CE, particularly CEBM, and the other is methodological.

This study contributes to the body of knowledge about CE and BM in three ways. First, this research includes a thematic analysis of CE drivers, as well as themes and subthemes. Additionally, the authors discuss an emerging approach for CE drivers. Second, the authors make a contribution by proposing a framework for CEBM that takes value dimensions and CE strategies into account for the emerging economy context. Third, the authors shed light on potential avenues for further research.

This study aims to investigate the drivers of halal-certified firms in Taiwan, a Muslim minority country, to provide halal products or services.

This study used a quantitative method by spreading offline and online surveys toward halal-certified firms in Taiwan. Data were obtained from 41 responses and were analyzed using partial least square structural equation modeling.

This study discovers that firms in Taiwan practice halal business as they possess halal perceived value and innovation orientation. In addition, the interplays of the antecedents, the internal and external drivers, also play an excellent role in shaping the firms’ practices on halal business.

Despite the implications, this study was built under several limitations that are potentially addressed by future research. The limitations lay in the low response rate, indistinctive analysis based on the firms’ market orientations (domestic or international) and the exclusion of other relevant variables to the conceptual model.

Practically, this study clarifies that firms in a Muslim minority country can be encouraged to engage in halal business in several ways. Those with a good understanding of halal usefulness are oriented to innovation, exposed to external pressures about halal business and equipped with specific internal settings that can translate the halal business phenomenon as an opportunity, not a threat.

To the best of the authors’ knowledge, this study is the first to unveil the drivers of halal business practices of firms in a Muslim minority country.

The purpose of this paper is to examine high-tech small-to-medium-sized enterprises (SMEs) supply chain partnerships. Partnerships are considered at the level of business function rather than the entire organisation. Second, the drivers of SMEs to engage in partnerships are assessed to see whether functions engage in partnerships for different reasons. Third, performance per function is assessed to see the differential effect of partnerships on the function’s performance.

In this study, the relationship between the drivers of SMEs to engage in partnerships, four types of partnerships (marketing and sales, research and development (R&D), purchasing and logistics, and production) and four types of functional performances of firms (marketing and sales, R&D, purchasing and logistics, and production) are examined. The data have been collected from 279 SMEs. The proposed hypotheses are tested using structural equation modelling.

The results indicate that there are considerable differences between business functions in terms of the degree of involvement in partnerships and the effect of partnerships on the performance of these functions. This paper contributes to research by explaining the contradictory results of partnerships on SMEs performance.

This study helps firms understand which type of partnership should be established based on the firm’s drivers to engage in supply chain partnership; and which partnership has a significant effect on which type of business performance of the firm.

The originality of this study is to investigate the relationship between different drivers to engage in supply chain partnership and different types of partnerships and different functional performance of firm in a single model.

The paper seeks to develop a list of operational knowledge assets as antecedents to a validated common taxonomy of intangible strategic value drivers.

Qualitative data from focus groups was collected to validate a theory‐based list. The list contains the value generation activities (i.e. performance focus areas) and their respective critical success factors emerging from the interaction of eight validated intangible value drivers. Two primary questions were addressed at the focus groups: What performance focus areas does the organization need to focus on?; and What knowledge do employees need to leverage within each focus area? Data were analyzed using template analysis. Structural equation modeling using PLS was performed to develop a theory about the impact of the list of operational knowledge assets on intellectual capital and business performance measures.

A validated list of knowledge assets called the list of operational knowledge assets (LOKA) was developed comprising 31 categories (i.e. critical success factors) grouped into seven value generating activities (i.e. performance focus areas). The thematic dimensions of each category surface internal views of a business that define the strategic and operational value drivers that are aligned with organizational performance.

The list is not an exhaustive one but rather a template that can be adapted based on the industry investigated. The scope of the study was focused on the high‐tech federal contractors in the USA. Therefore the results and related models of this study are generic in nature. Future research could focus applying the study on different environments (i.e. organizational, cultural, type of knowledge workers) and compare results.

The paper could improve managers' understanding of the human capital drivers on performance and thus facilitate better resource allocation on human capital management practices, technology investments, process improvements and business intelligence functions.

The list of operational knowledge assets presents a first attempt in addressing the lack of understanding of the knowledge assets that managers need to leverage at the lowest level of operational granularity.

The purpose of this paper is to help readers to better understand and manage the key drivers of business model performance.

This paper investigates research on business model performance to identify and illustrate five static and dynamic performance drivers.

While performance mechanisms linked to traditional business model components remain instrumental for business model success, the authors argue that managers need to adopt a more dynamic view, emphasizing how changing combinations of drivers matter over a firm’s life cycle.

The proposed approach combines insights from multiple theoretical perspective into an actionable framework for management practitioners.

The purpose of this paper is to present a framework for developing an integrated operating environment (IOE) within an enterprise information system by incorporating business continuity drivers. These drivers enable a business to continue with its operations even if some sort of failure or disaster occurs.

Development and implementation of the framework are based on holistic and top‐down approach. An IOE on server's side of contemporary business computing is investigated in depth.

Key disconnection points are identified, where systems integration technologies can be used to integrate platforms, protocols, data and application formats, etc. Downtime points are also identified and explained. A thorough list of main business continuity drivers (continuous computing (CC) technologies) for enhancing business continuity is identified and presented. The framework can be utilized in developing an integrated server operating environment for enhancing business continuity.

This paper presents a comprehensive framework including exhaustive handling of enabling drivers as well as disconnection points toward CC and business continuity.