Technological Success Factors Research Articles

Twenty years, twenty studies: what can we learn from San Diego’s innovation ecosystem?

ABSTRACT This study conducts a systematic literature review of San Diego’s innovation ecosystem to analyse its evolution, dynamics, the most influential (key) stakeholders, and success factors. 1,405 documents from Scopus and 809 documents from Web of Science (WoS) were retrieved and analysed to obtain a final sample of twenty articles. The ecosystem’s key organisational stakeholders were identified as UC San Diego, research institutes, venture capitalists, pioneer and leading companies and intermediary organisations. Regarding success factors, key political factors include research funding, other public funding and policies that foster, for example, the actors’ geographical proximity. Key economic factors include start-up support systems, company acquisitions and initial public offerings (IPOs). Several vital social factors, such as collaboration, social networks and risk-taking culture, were also identified. Finally, the key technological success factors include technology transfer, specific focus areas and critical mass in research and development. This systematic review, complemented by expert interviews, provides a comprehensive view and validation of the stakeholders and factors that have contributed to the emergence, evolution and dynamics of the innovation ecosystem. The study also exemplifies an originally nonleading city’s path to success, which can provide valuable innovation policy and planning insights for other nonleading regions.

Integrating blockchain technology success factors in the supply chain of circular economy-driven construction materials: An environmentally sustainable paradigm

Integrating blockchain technology (BT) with the circular economy (CE) concepts into the building materials supply chain is a crucial yet understudied field of research. Incorporating blockchain into the supply chain of circular economy-driven construction materials poses challenges in ensuring transparency, traceability, and efficiency while meeting sustainability goals. To fill this gap, this study aims to investigate the critical success factors (CSFs) of blockchain technology in the supply chain of circular economy-driven construction materials. A thorough literature analysis was used to identify CSFs based on the PESTEL (Political, Economic, Social, Technological, Environmental, and Legal) aspects. Following that, expert interviews were used to confirm these CSFs. A questionnaire survey was developed and distributed online to gather information from industry and academic specialists. The fuzzy DEMATEL algorithm was used to analyze the gathered data. The study's findings emphasize CSFs, which include data security and privacy protections, stakeholder participation, and the accessibility and affordability of blockchain solutions. This study provides valuable advice to organizations incorporating blockchain technology while upholding circular economy standards. Additionally, by matching these CSFs to theoretical ideas, the study's theoretical implications highlight the positive synergy between technology, sustainability, and stakeholder participation.

Social Entrepreneurship Success: Relevance to Social Mediating Technologies

ABSTRACT Implementing effective social entrepreneurship can result in a better redistribution of wealth and well-being in society. Social mediating technologies are digital transformation tools that can fulfill specific goals and the success of social entrepreneurship. This paper aims to answer the following research question: What makes social entrepreneurship successful and what is its relevance to social mediating technologies? This paper utilizes a meta-analysis method through a review of the literature, data analyses, and inductive reasoning to reach two research propositions: (1) social mediating technologies support the achievement of social entrepreneurship success and social network capabilities, and (2) social mediating technologies and social network capabilities support the realization of social entrepreneurship success. These two propositions have been further validated through industrial data analyses. A conceptual framework has been created and analyzed to portray the research question. The framework has created three constructs, including social mediating technologies, social network capabilities, and social entrepreneurship success. This study contributed to the social entrepreneurship field by adopting technological success factors and establishing the inter-relationships among these three constructs in the framework.

Malaysia Shipbuilding Industry: A Review on Sustainability and Technology Success Factors

Shipyards are fixed facilities with drydocks and fabrication equipment capable of building a ship intended for personal or recreational use. The Malaysian shipbuilding and naval repair (SBSR) industry has evolved from the establishment of small shipyards in eastern Malaysia to the growth of larger-capacity shipyards. both in the East and West Malaysia. However, consistent patterns of delays in delivering to the customer directly reduced the company's profitability and financial results. This study will address issues to understand which resources are critical and important as a sustainable source of competitive advantage for SBSR.

A framework for technology transfer success factors: validation for the Graphene4Life project

PurposeThe purpose of this paper is to develop a theoretical framework for technology transfer success factors from a technology provider viewpoint and to test this framework considering the perceptions of graphene researchers from a Romanian research project (Graphene4Life).Design/methodology/approachThe authors conducted a literature review and a case study with three units of analysis. Semi-structured face-to-face interviews and content analysis were used.FindingsThe five-category framework for technology transfer success factors from a technology provider viewpoint, which portrays success factors in an expansive way from technology to the market (technology, organization, context, collaboration and customer absorptive capacity factors), is confirmed by the qualitative analysis, while new factors in all categories are discovered.Research limitations/implicationsThe results are limited given the qualitative nature of this research. The extrapolation of the results to other technologies and contexts is a scientific challenge.Originality/valueIn this paper, the authors develop, based on a detailed literature review, a framework for technology success factors from a technology provider viewpoint, which classifies technology transfer success factors in an expansive way from technology to the market (technology, organization, context, collaboration and customer absorptive capacity factors). Technology itself is settled as the foundation of the framework, underlining the need for a technology-driven technology transfer process. In comparison to existing frameworks that analyze technology transfer success factors, the present framework is a more complex one, covering all facets of the technology process. The new factors discovered through the qualitative analysis are also an important contribution of this research.

Social Innovation for Sustainability Challenges

Social innovation is concerned with social mobilization and impact, and is increasingly seen as an option to address sustainability challenges. Nevertheless, the concept of social innovation is quite open in character and requires empirical accommodation to establish how it differs from other types of innovation in this setting. This article contributes empirically to the concept of social innovation as it reviews categories of success factors of social innovation against those of five other innovation types (product, service, governmental, organizational, system) in 202 innovation cases that focus on climate action, environment, resource efficiency and raw materials. Statistical analysis with contingency tables is applied to examine the distribution of five kinds of success factors across the innovation types: economic, environmental, political, social, and technological. The results confirm empirically that social innovation is indeed a distinct type of innovation. There are statistically significant differences in the distribution of categories of success factors between social innovation on the one hand and product, service and governance innovation on the other. In addition to the prevalence of social success factors, social innovation is characterized by a lesser emphasis on political and technological success factors.

How mobile technologies support business models: Case study‐based empirical analysis

AbstractMobile technologies have pushed the connectivity of IT systems to the limit, enabling people and things to connect to one another at all times. The amount of information companies have at their disposal has increased exponentially, thanks largely to geolocation and to the vast array of sensors that have been integrated into mobile devices. This information can be used to enhance business activities and processes, but it can also be used to create new business models. Focusing on business models, we analyze mobile technologies as enablers of activity changes. We consider the differentiating characteristics of mobile technologies and examine how these can support different business functions. A study based on fuzzy‐set qualitative comparative analysis (fsQCA) of 30 cases across different industries allows us to identify mobile technology success factors for different core activities. The results show that several combinations of mobile technology initiatives provide a competitive advantage when these initiatives match the business model.

Adaptability within a Multi-variant Serial Production

Shorter product and market life cycles with reduced forecast accuracy and frequent new product launches demonstrate the necessity of appropriate measures to increase the market adaptability of manufacturing enterprises. Depending on the extent of changing market demands the product and production process innovation is a necessity for market adaptability. In order to realize a product and production process innovation, specific product and production process technologies are needed. This article analyzes and defines four most promising technological success factors to increase the market adaptability within a multi-variant serial production. In order to analyze and define the technological success factors for adaptability, the model “Patterns of Industrial Innovation” by William J. Abernathy and James M. Utterback is further developed. The aim is to achieve a more efficient and effective multi-variant serial production. Therefore, the developed model illustrates how to response to the increasingly dynamic and partially unpredictable market situation in a competitive way. It can be demonstrated that enterprises can increase their adaptability within a multi-variant serial production through simultaneously pursuing the four technological success factors. Finally, it is shown a mathematical description of these identified four technological success factors. This enables manufacturing enterprises to quantify and assess their actual condition as well as the definition of targets to increase their adaptability within a multi-variant serial production.

Information technology success factors and models in developing and emerging economies

Information technology (IT) projects continue to suffer from frequent cost and time overruns and failure to fully deliver on the expected benefits to the users or the organization. Furthermore, wha...

Information Technology Success Factors for Small Business Managers

AbstractInformation Technology (IT) provides great scope for small business to gain benefits in terms of customer service, productivity, business growth, return on investment, profits and time based competitiveness. Yet these outcomes are not guaranteed. In this study of 80 small businesses in Victoria, which have been drawn into IT networks by larger organisations and invested in IT, factors which inhibit or promote gains are investigated. One important aspect is whether certain characteristics related to the small business manager show a relationship with ‘success’ or positive outcome indicators. Data analysis indicates that factors such as length of time using computers, accessibility of information and positive attitude towards IT change are associated with the extent to which business benefits are realised.

Information Technology Success Factors for Small Business Managers

AbstractInformation Technology (IT) provides great scope for small business to gain benefits in terms of customer service, productivity, business growth, return on investment, profits and time based competitiveness. Yet these outcomes are not guaranteed. In this study of 80 small businesses in Victoria, which have been drawn into IT networks by larger organisations and invested in IT, factors which inhibit or promote gains are investigated. One important aspect is whether certain characteristics related to the small business manager show a relationship with ‘success’ or positive outcome indicators. Data analysis indicates that factors such as length of time using computers, accessibility of information and positive attitude towards IT change are associated with the extent to which business benefits are realised.