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Science and technology parks (STPs) have a limited capacity, which can create challenging conditions for applicants. This makes the location selection a multi-criteria decision-making (MCDM) problem to find and apply for the most appropriate STP with the highest accordance with the startup's requirements. This research aims to select the most appropriate STP to locate an international entrepreneurial pharmaceutical startup under uncertainty. Since drugs are generally produced domestically in developing countries such as Iran, the access of pharmaceutical startups to the resources provided by STPs can lead to overcoming competitors and improving the country's health system.

In this research, the factors or attributes effective on startup location were extracted through a two-round Delphi method, which was performed among 15 experts within three groups. Subsequently, the determining factors were used to select the location of a pharmaceutical startup among possible STPs. In this regard, decision-makers were allowed to use different types of numbers to transfer their opinion. Afterward, the heterogeneous weighted aggregated sum product assessment (HWASPAS) method was applied to calculate the score of each alternative and rank them to place the studied startup successfully.

The results indicated that Tehran STP stands in the first place; however, if the decision was made based on single criterion like cost, some other STPs could be preferable, and many managers would lose this choice. Furthermore, the results of the proposed method were close to other popular heterogeneous MCDM approaches.

A heterogeneous WASPAS is developed in this article for the first time to enable international entrepreneurs to imply their opinion with various values and linguistic variables to reduce the emphasis on accurate data in an uncertain environment.

The purpose of this paper is to determine the effects of knowledge spillovers on innovation and collaboration among firms located in science and technology parks (STPs). To do so, whether knowledge spillovers imply a greater degree of innovation in its various forms – product, process, organisational and commercial – and greater inter‐organisational collaboration on research and development (R&D) is analysed. Explicitly, this article examines these effects by identifying and distinguishing between firms located on and off STPs.

This paper adopts a quantitative approach. After reviewing the literature, the study tests the hypotheses empirically using a sample of 784 firms, and performing several logistic binomial regressions to analyse the impact of each type of knowledge spillover on each type of innovation and on the likelihood of firms establishing inter‐organisational collaborative R&D agreements.

The results show that knowledge spillovers have a positive impact on firm propensity to innovate and on the probability of firms engaging in inter‐organisational R&D collaboration. Furthermore, firm location within an STP is found to influence the intensity of the effect of spillovers on innovation and on R&D cooperation. Thus, the magnitude of the effects of spillovers differs according to the type of the spillover.

Given the special features of spillovers and the scarce evidence available analysing the relationship between spillovers, innovation and cooperation and the location on STPs, this work contributes significant empirical evidence to the existing literature.

This paper aims to propose that firms located in science and technology parks (STP) developing corporate social responsibility practices can attract talented workers as an effective knowledge management spillover mechanism.

A longitudinal study has been carried out from the Spanish Panel of Technological Innovation database (PITEC). The statistical method used for data treatment has been a logistic regression for panel data.

Empirical results show a positive moderating effect of corporate social responsibility practices on the relationship between the firm’s belonging to a STP and talent attraction.

This research follows previous claim for additional research on the phenomenon of talent management and clusters and STP. In that sense, and to the best of the authors’ knowledge, there is no previous empirical research about the complementarily effect of corporate social responsibility practices and the belonging to a STP in talent attraction.

Delivering premium services and quality products are critical strategies for success in manufacturing. Continuous improvement (CI), as an underlying foundation for quality management, is an ongoing effort allowing manufacturing companies to see beyond the present to create a bright future. We propose a novel integrated fuzzy framework for analyzing the barriers to the implementation of CI in manufacturing companies.

We use the fuzzy failure mode and effect analysis (FMEA) and a fuzzy Shannon's entropy to identify and weigh the most significant barriers. We then use fuzzy multi-objective optimization based on ratio analysis (MOORA), the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) and fuzzy simple additive weighting (SAW) methods for prioritizing and ranking the barriers with each method. Finally, we aggregate these results with Copeland's method and extract the main CI implementation barriers in manufacturing.

We show “low cooperation and integration of the team in CI activities” is the most important barrier in CI implementation. Other important barriers are “limited management support in CI activities,” “low employee involvement in CI activities,” “weak communication system in the organization,” and “lack of knowledge in the organization to implement CI projects.”

We initially identify the barriers to the implementation of CI through rigorous literature review and then apply a unique integrated fuzzy approach to identify the most important barriers based on the opinions of industry experts and academics.

Science and technology parks (STP) are established to facilitate innovation and the rapid development of cutting-edge technologies. The innovation performance of tenants is the primary feature of all successful STPs globally. The purpose of this study is to investigate firms’ innovation and economic performance at the National Science and Technology Park (NSTP), Islamabad, Pakistan.

The CDM (the acronym of the three authors’ names, Crépon, Duguet and Mairesse) model following a two-stage approach was used to analyze the survey data of 105 tenants. The innovation performance of tenants was estimated through probit regression at Stage 1, and the economic performance of tenants given their innovation performance was examined at Stage II using Tobit regression and the Heckman model.

The findings suggest that compatibility of innovation with the existing competitive advantage of a firm increases the innovation performance of firms, whereas collaboration of firms with NUST for research and development has only a marginal effect on innovation performance. However, the tenant’s business and social networking were weak, possibly due to the short time spent on NSTP.

These STPs are expected to be hubs of technology development and transfer by fostering open innovation through internal and external collaborations. To the best of the authors’ knowledge, this is the first study to estimate the innovation performance of tenants at NSTP, the first fully integrated STP in Pakistan. Despite shortcomings, the innovation and economic performance of NSTP tenants warrant further public policy support to inculcate open innovation culture.

Achieving good sustainability performance requires balancing higher economic profits with better environmental and social performance. Knowledge plays a key role in improving corporate sustainability performance, but this knowledge is becoming increasingly complex, specific and dispersed among many scientific, technological and business actors. Science and technology parks (STPs) are infrastructures designed to host varying types of organizations that can bring together new, disruptive knowledge. Our purpose is to unveil how these spaces can be drivers of sustainability performance for companies.

We test our hypotheses on a longitudinal database of Spanish companies over the period 2009–2016 using structural equation models (SEMs).

This research confirms that a firm’s location in an STP helps improve its sustainability performance, provided that conditions are optimal in the STP. These optimal conditions are based on an abundance of knowledge spillovers available to the firm and the firm’s ability to harness them, especially those of a more disruptive nature, through absorptive capacity.

Results of this study yield implications for academia in the form of future lines of research and practical implications for policymakers and managers of both STPs and the organizations that host them.

若要取得良好的可持續發展績效，我們必須以更佳的環境和社會績效來平衡更高的經濟利潤。知識在改善企業的可持續發展績效上發揮關鍵作用; 但知識對很多科學的、技術性的和商業的參與者來說，變得越來越複雜、特殊和分散。科技園是為集合嶄新而帶有顛覆性知識的各種不同組織提供軟硬體支援而設計的基礎設施。本研究擬顯露這些設施和場地如何能為企業推動其永續發展績效。

我們以結構方程模式、去測試有關涵蓋2009年至2016年期間西班牙企業的縱向數據庫的研究假設。

研究結果確認了只要在科技園內有最優良的環境和條件，企業在園內的位置是有助改善其永續發展績效的。這些最優良環境和條件是基於企業可得到的豐富的知識外溢，以及它們可透過其吸收能力去控制知識外溢的能力，特別是那些具更強顛覆性本質的知識外溢。

研究結果為學術界就未來的研究領域提供了啟示; 研究結果亦為科技園和主辦機構的政策制定者和經理、提供了實務方面的啟示。

The purpose of this paper is to provide a method to examine the differences in behaviour during a post‐quake period.

Fieldwork and questionnaires were used to collect the households’ members’ movement behaviours after the 2004 Chuetsu Earthquake. In total, three study areas were selected in Kawaguchi town (Niigata Prefecture) in order to enhance how the visualisation process can provide support in better understanding the behaviour during evacuation and recovery process. For this purpose the Space‐Time‐Cube (STC) was used to represent and analyse residents’ movement paths over time.

Differences appear in the spatio‐temporal paths of the three study areas, implying a connection between the geographical location and movement patterns. The city centre shows disorganized Spatio‐Temporal‐Patterns (STPs) during the first week of the recovery process, eventually becoming organized after the rescuers’ arrival. Moving towards the isolated areas of the town, a progressive STP organisation can be observed, explaining the faster response after the seismic event.

Spatio‐temporal data are difficult and costly to collect, especially if a long period of time passes between the seismic event and the survey.

The STC can be used as tool to enhance the disaster management techniques and provide support in crisis situations.

The paper provides a practical approach to investigate the reactions after a seismic event and can be used in larger study areas to develop better strategies in disaster management.

The purpose of this study is to identify how firms' sustainability performance is affected by external knowledge sources and absorptive capacity, accounting for the influence of being located in a science and technology park (STP).

Drawing on data from the Spanish Technological Innovation Panel, the authors estimate the determinants of sustainability performance using fixed effects multiple linear regression models with robust standard errors. The analysis covers the period 2009–2016, with a total panel of 8,874 companies and a total sample of 47,870 observations.

This study highlights the heterogeneity in on-park firms’ sustainability performance, which can be explained by the different capacities of these firms when it comes to embedding themselves in STP networks and processes and effectively absorbing the knowledge from the many knowledge sources that may be on offer in the park.

This paper contributes to the literature by examining the influence of external sources of knowledge and absorptive capacity, and the relationship between them, on sustainability performance. This study approaches sustainability performance as an aggregate measure of firms’ competitiveness and potential for long-term survival from the triple bottom line perspective. In addition, this study examines the effect that location in an STP can have on business sustainability performance and, more specifically, the mediating effect that knowledge sources and absorptive capacity can exert on this relationship.

This paper aims to discuss the relationship between the digital economy and the model of internationalisation followed by companies resident in technology parks – institutions designed within the framework of regional and national innovation systems – to promote the country’s digital development. The authors selected Poland as the case study. It is one of the biggest European Union members that joined the EU after 2004. In the second decade of the 21st century, the Polish Government has oriented its economic strategy towards building a competitive digital economy. One of its fundamentals is to support the internationalisation of innovative firms.

The analysis interrogates the forms and determinants of internationalisation undertaken by tenants of technology parks. The study sample consisted of 300 of the total 1,584 enterprises resident at the 36 technology parks in Poland and was a stratified random sample, with particular strata classified by location at a specific park. The research applied an interview questionnaire designed to cover such issues as innovativeness, research and development, public aid and the support offered by technology parks.

The results show that around half of the investigated enterprises undertake international activities. The key factors determining the chances of a firm’s internationalisation in the digital economy are whether it conducts research and development projects and receives public aid support. Many tenants of technology parks in Poland enter foreign markets at an early stage of their development, using diverse forms of foreign expansion. The findings also show that the internationalisation of tenants of Polish technology parks usually occurs in six relatively independent modes (types).

This study contributes to a better understanding of the internationalisation patterns of firms facing digital development challenges. Technology parks have a crucial role in building a digital economy, facilitating a technological “leapfrog”. The final recommendations can guide the technology parks’ managers to adopt more relevant support services for the internationalisation of their tenants. It is a critical point for small- and mid-size young innovative enterprises.

The purpose of this paper is to investigate the literature on the representation of the quadruple and quintuple helix (QQH) in innovation environments such as incubators and science and technology parks (STPs).

The authors used the integrative review as a methodological approach and systematized studies regarding the main research objectives; theoretical approaches; methodology and study object; QQH representation, by identifying actor, performance and main results; and additional contributions to the QQH model.

As a result, the authors noticed a lack of standardization on the representation of the quadruple helix, but the example of associations and community centers as representatives of the civil society. The quintuple helix does not have an actor that represents the environment, but STPs foster sustainable actions, encourage the generation of green companies and stimulate sustainable practices among established companies.

Based on changes in the economic and social scenarios, new theoretical approaches emerge to explain the innovation process, such as the QQH. Incubators and STPs are favorable settings for interactions, according to the new models; however, there is a lack of studies addressing this topic in such environments. Hence, this study contributes to understanding the existence and performance of QQH, by showing how these new helices were identified, in addition to advancing the subject in innovation environments such as incubators and STPs.