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1 – 10 of 376Susanna Pinnock, Natasha Evers and Thomas Hoholm
The demand for healthcare innovation is increasing, and not much is known about how entrepreneurial firms search for and sell to customers in the highly regulated and complex…
Abstract
Purpose
The demand for healthcare innovation is increasing, and not much is known about how entrepreneurial firms search for and sell to customers in the highly regulated and complex healthcare market. Drawing on effectuation perspectives, we explore how entrepreneurial digital healthcare firms with disruptive innovations search for early customers in the healthcare sector.
Design/methodology/approach
This study uses a qualitative, longitudinal multiple-case design of four entrepreneurial Nordic telehealth firms. In-depth interviews were conducted with founders and senior managers over a period of 27 months.
Findings
We find that when customer buying conditions are highly flexible, case firms use effectual logic to generate customer demand for disruptive innovations. However, under constrained buying conditions firms adopt a more causal approach to customer search.
Practical implications
Managers need to gain a deep understanding of target buying environments when searching for customers. In healthcare sector markets, the degree of flexibility customers have over buying can constrain them from engaging in demand co-creation. In particular, healthcare customer access to funding streams can be a key determinant of customer flexibility.
Originality/value
We contribute to effectuation literature by illustrating how customer buying conditions influence decision-making logics of entrepreneurial firms searching for customers in the healthcare sector. We contribute to entrepreneurial resource search literature by illustrating how entrepreneurial firms search for customers beyond their networks in the institutionally complex healthcare sector.
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Hasan Evrim Arici, Mehmet Ali Köseoglu, Cagdas Aydin, Ceren Aydin and Levent Altinay
This study aims to identify the role of innovation research in formulating the intellectual structure of the hospitality and tourism literature by performing a bibliometric…
Abstract
Purpose
This study aims to identify the role of innovation research in formulating the intellectual structure of the hospitality and tourism literature by performing a bibliometric analysis.
Design/methodology/approach
In total, 6,255 journal articles on innovation were gathered from Scopus and analyzed using co-citation, bibliographic coupling and thematic content analyses. The most influential articles were also carefully read to reveal a nomological network of innovation research in hospitality and tourism scholarship.
Findings
Co-citation analysis reveals that there are six significant clusters in the field of innovation research. Various philosophical underpinnings might be used in different circumstances, with actor-network and Schumpeterian theory playing significant roles. A review of current works using bibliographic coupling reveals five interesting emerging research areas and makes numerous recommendations for when to conduct more studies. A review of influential articles displayed differences between the co-citation and bibliographic coupling analysis findings and produced a framework for further investigation of the knowledge field.
Originality/value
This paper is among the first integrative reviews on innovation research in hospitality and tourism by quantitatively reviewing published articles and qualitatively reviewing the content of the most influential studies.
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Sakibu Seidu, De-Graft Owusu-Manu, Augustine Senanu Komla Kukah, Michael Adesi, Eric Oduro-Ofori and David John Edwards
The demand for energy infrastructure projects has increased steadily over the last few decades and has come at a high cost. Disruptive technologies (DTs) have the inherent…
Abstract
Purpose
The demand for energy infrastructure projects has increased steadily over the last few decades and has come at a high cost. Disruptive technologies (DTs) have the inherent capability to affect the performance of energy infrastructure projects. Therefore, this research aims to explore the implications of DTs on the performance of energy infrastructure projects.
Design/methodology/approach
This research adopts a positivist philosophical position. A quantitative strategy and deductive approach (based on a survey design) guided this study. Sixty-six respondents participated in the study. The study’s population comprised of experts in energy infrastructure projects who possessed a high level of industrial experience including top- and middle-level management of power generation companies. Cochran’s formula was used to select a sufficient sample for the study. Linear regression, one sample test and Cronbach’s alpha were the analytical tools adopted.
Findings
This study established that there is an 18.4% increase in the performance of energy infrastructure projects in Ghana when DTs are applied. In order of importance, DTs improve speed of operations in energy projects; reduce operating cost and enhance efficiency of energy projects; drive sustainable economic development; enhance security in energy projects; and improve environmental sustainability of projects. The study also revealed that e-commerce technologies, renewable energy technologies, three-dimensional printing, bar code technology, photogrammetry, global positioning systems, geographic information systems and nanotechnologies were the topmost ranked DTs with the most impact on the performance of energy infrastructure projects.
Originality/value
This is a novel investigation on the implications of DTs on the performance of Ghanaian energy infrastructure projects. This study’s practical implication is evident in both policy and practice. Energy sector policymakers should endeavour to adopt DTs in their operations to enhance sustainability and performance.
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Xuening Duan, Yu Chang, Wei Huang and Md Moynul Hasan
A shared cognitive schema is the fundamental source of tacit understanding within a team. This study aims to address how such a shared cognitive schema emerges and evolves in an…
Abstract
Purpose
A shared cognitive schema is the fundamental source of tacit understanding within a team. This study aims to address how such a shared cognitive schema emerges and evolves in an interdisciplinary research team.
Design/methodology/approach
This study uses an exploratory single case study to analyze the emergence and evolution of a shared cognitive schema in an interdisciplinary research team systematically. The authors spent more than two years collecting data from the IAM team via semistructured interviews, archival data and observation. Subsequently, a framework for the resulting mechanism model was developed by analyzing the data using a three-step process.
Findings
This study shows that as the interdisciplinary research team develops, the shared cognitive schema passes through three stages: overlapping cognitive schema, complementary cognitive schema and synergetic cognitive schema. The mechanisms of overlap, complement and synergy play important roles. The convergent roles of partner-based recruiting, knowledge categorization and following the existing institution facilitate the overlapping of knowledge structures. Complementary cognitive schema sharing is facilitated by interdisciplinary member selection, knowledge stock expansion and the effects of accomplished mentors. The synergetic behaviors of group voice, interactive cognition and adaptive learning facilitate synergetic cognitive schema sharing.
Originality/value
This study is the first to discuss the emergence and evolution of a shared cognitive schema at the microlevel of knowledge structure and belief structure. It offers a new theoretical perspective on the development rules of scientific research teams and provides practical enlightenment regarding the establishment and operation of interdisciplinary research teams.
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Manuel Pedro Rodríguez Bolívar and Laura Alcaide Muñoz
This study aims to conduct performance and clustering analyses with the help of Digital Government Reference Library (DGRL) v16.6 database examining the role of emerging…
Abstract
Purpose
This study aims to conduct performance and clustering analyses with the help of Digital Government Reference Library (DGRL) v16.6 database examining the role of emerging technologies (ETs) in public services delivery.
Design/methodology/approach
VOSviewer and SciMAT techniques were used for clustering and mapping the use of ETs in the public services delivery. Collecting documents from the DGRL v16.6 database, the paper uses text mining analysis for identifying key terms and trends in e-Government research regarding ETs and public services.
Findings
The analysis indicates that all ETs are strongly linked to each other, except for blockchain technologies (due to its disruptive nature), which indicate that ETs can be, therefore, seen as accumulative knowledge. In addition, on the whole, findings identify four stages in the evolution of ETs and their application to public services: the “electronic administration” stage, the “technological baseline” stage, the “managerial” stage and the “disruptive technological” stage.
Practical implications
The output of the present research will help to orient policymakers in the implementation and use of ETs, evaluating the influence of these technologies on public services.
Social implications
The research helps researchers to track research trends and uncover new paths on ETs and its implementation in public services.
Originality/value
Recent research has focused on the need of implementing ETs for improving public services, which could help cities to improve the citizens’ quality of life in urban areas. This paper contributes to expanding the knowledge about ETs and its implementation in public services, identifying trends and networks in the research about these issues.
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Martin Leipziger, Dominik K. Kanbach and Sascha Kraus
Small businesses are facing evolving environments, with a resulting need to shift their traditional approaches toward new business models (BMs). Many face difficulties within this…
Abstract
Purpose
Small businesses are facing evolving environments, with a resulting need to shift their traditional approaches toward new business models (BMs). Many face difficulties within this transition process due to their specific resource constraints. Based on this, incremental changes to the BM – business model transition (BMT) – are proposed as comprising a suitable framework for entrepreneurial small businesses.
Design/methodology/approach
This study conducts a systematic literature review (SLR) to cover a broad range of relevant literature within a final sample of 89 articles. The SLR method was chosen to integrate research in a systematic, transparent and reproducible way. For qualitative analysis and framework derivation, the study draws on a thematic ontological analysis.
Findings
The broad search criteria, focusing on BM, incremental BM changes and small businesses, pave the way for a comprehensive overview of multiple research streams of BM concepts (e.g. digital and sustainable BM). The main contribution of this work is the resulting holistic BMT framework, comprising the main parts BM innovation, external antecedents (transition of environment, entrepreneurial ecosystem), internal antecedents (dynamic capabilities, entrepreneurial orientation, resilience, strategy) and output (firm performance).
Practical implications
The framework provides guidance for entrepreneurs and entrepreneurial managers to implement and complete BMT in small businesses. Furthermore, the presented paper sets a future research agenda focusing on small businesses structured according to the derived framework.
Originality/value
This study provides the first SLR of existing BM concepts with a small-business specific perspective on BMI and a focus on various incremental BM changes.
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Jingxuan Huang, Qinyi Dong, Jiaxing Li and Lele Kang
While the growth of emerging technologies like Blockchain has created significant market opportunities and economic incentives for firms, it is valuable for both researchers and…
Abstract
Purpose
While the growth of emerging technologies like Blockchain has created significant market opportunities and economic incentives for firms, it is valuable for both researchers and practitioners to understand their creation mechanisms. This paper aims to discuss the aforementioned objective.
Design/methodology/approach
Based on the knowledge search perspective, this study examines the impact of search boundary on innovation novelty and quality. Additionally, innovation targets, namely R&D innovation and application innovation, are proposed as the moderator of the knowledge search effect. Using a combination of machine learning algorithms such as natural language processing and classification models, the authors propose new methods to measure the identified concepts.
Findings
The empirical results of 3,614 Blockchain patents indicate that search boundary enhances both innovation novelty and innovation quality. For R&D innovation, the positive impact of search boundary on innovation quality is enhanced, whereas for application innovation, the positive effect of search boundary on innovation novelty is improved.
Originality/value
This study mainly contributes to the growing literature on emerging technologies by describing their creation mechanisms. Specifically, the exploration of R&D and application taxonomy enriches researchers' understanding of knowledge search in the context of Blockchain invention.
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Rosylin Mohd Yusof, Zaemah Zainuddin, Hafirda Akma Bt Musaddad, Siti Latipah Harun and Mohd Aamir Adeeb Abdul Rahim
This paper aims to propose a model for democratization of Islamic home financing to tackle the issue of sustainability of homeownership affordability.
Abstract
Purpose
This paper aims to propose a model for democratization of Islamic home financing to tackle the issue of sustainability of homeownership affordability.
Design/methodology/approach
A conceptual framework and fractional equity model (FEM) are developed to incorporate big data analytics, artificial intelligence and blockchain technology in an ecosystem for affordability and sustainability of homeownership via the proposed financing model. In addition, the FEM adopts the simulation approach to show its validity in terms of liquidity when compared with traditional home financing. In this regard, this paper is focused on developing and demonstrating the feasibility of a new financing model, rather than testing specific hypotheses or relationships. This is to propose the democratization model for Islamic Home Financing that will not benefit the prospective home buyers without compromising the profitability of the financial institutions.
Findings
The findings indicate that the proposed end-to-end solution within the financing ecosystem can lead to more efficient matching market between the buyers and sellers of houses, reduced transaction costs, greater transparency and enhanced efficiency which in the end could lead to lower costs of owning homes and sustained financial resilience among house owners. The findings indicate that the FEM model is able to increase homeownership with more elements of liquidity, marketability and sustainability for homebuyers.
Research limitations/implications
This research highlights the potential of big data and blockchain technology in democratizing Islamic home financing and evidence that the transfer of ownership is possible through tokenization. However, this will require a mature financing environment to adapt the technology for practical application.
Practical implications
The model proposes a solution to propagate shared prosperity among stakeholders such as the house buyers/owners, sellers, investors as well the government agencies. The proposed FEM model provides alternative home financing that is more marketable, flexible and sustainable for households/buyers and financiers.
Social implications
It is hoped that with the proposed financing ecosystem to promote affordability and sustainability of homeownership via big data analytics, artificial intelligence and blockchain technology can lead to greater financial resilience for homeowners which can then be translated to enhanced well-being, increased productivity and can further promote economic growth.
Originality/value
This research is a concept paper based on academic research and industry collaboration with a technology provider.
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Tian-Tian Shang, Guang-Mao Dong and Min Tian
Based on the resource bricolage theory, we investigate the impact of proactive market orientation and responsive market orientation on firms’ disruptive green innovation. We also…
Abstract
Purpose
Based on the resource bricolage theory, we investigate the impact of proactive market orientation and responsive market orientation on firms’ disruptive green innovation. We also examine the impact of resource bricolage on disruptive green innovation and the mediating role of resource bricolage.
Design/methodology/approach
Quantitative data were collected from 232 firms in China. Structural equation modelling was used to test hypotheses.
Findings
The result show that proactive market orientation had positive effect on firm’s disruptive green innovation, whereas responsive market orientation had negative effect on firm’s disruptive green innovation. In addition, resource bricolage positively promotes firm’s disruptive green innovation. Resource bricolage played a mediating role between proactive market orientation and disruptive green innovation. Resource bricolage had a suppressing effect between responsive market orientation and disruptive green innovation.
Originality/value
This study makes up for the deficiency of the existing research on the relationship between market orientation and enterprise disruptive green innovation, improves the guidance mechanism of disruptive green innovation.
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Disruptive technologies for human resource management (HRM) lack evidence about synthesizing its antecedents and outcomes in the empirical research landscape. This review study…
Abstract
Purpose
Disruptive technologies for human resource management (HRM) lack evidence about synthesizing its antecedents and outcomes in the empirical research landscape. This review study was conducted addressing two objectives: (1) to identify the themes of HRM technology empirically researched and (2) to develop a conceptual framework for the antecedents and outcomes of disruptive technologies for HRM.
Design/methodology/approach
This article was positioned as a literature review based on the systematic literature review (SLR) methodology. Seventeen articles published between 2000 and 2020 were included for the review from Scopus and LENS.ORG databases. The article screening, inclusion and analysis and findings reporting were based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA).
Findings
In addressing the first objective, the review found that the electronic human resource management (E-HRM) intention and communication technology support impact E-HRM adoption, resulting in many outcomes. The outcomes include HRM service quality, organizational effectiveness, employee productivity and competitive advantage. In addressing the study's second objective, a conceptual framework was developed based on the gaps identified regarding the determinants and positive outcomes of disruptive technologies for HRM. Thus, the conceptual framework was presented from two perspectives. The perspectives were deduced with review results and theoretical grounds.
Research limitations/implications
The findings related to the two objectives provide theoretical and practical implications. One significant practical implication is that action and work-based learning of managers and employees in organizations may suggest adopting disruptive technologies for HRM. Thus future studies can focus on them as determinants of adopting disruptive technologies for HRM to conduct empirical tests. Besides, the findings provide some other future research directions.
Originality/value
The study found empirically proven determinants of E-HRM intention and communication technology support impact E-HRM adoption, which results in many positive outcomes. These were synthesized based on the studies conducted during the period 2000–2020. This synthesis and theoretical grounding deduced a conceptual framework for determinants and outcomes of disruptive technologies for HRM.
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