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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。

This paper aims to analyze the effects of enabling management control systems (MCSs) and relational capabilities (interorganizational learning and coordination) on conflict management in innovation ecosystems.

Shedding light on relational governance, structural equation modeling (symmetric analysis) and qualitative comparative fuzzy-set analysis (asymmetric analysis) were applied to a sample of 164 Brazilian firms associated with science and technology parks (STPs), a specific type of innovation ecosystem.

The results of the symmetric analysis showed that enabling MCSs have a direct and positive effect on conflict management, as well indirect effects through interorganizational learning and coordination. The results of the asymmetric analysis indicated four solutions to promote high levels of conflict management, with enabling MCS solutions standing out, as they are present in the majority of cases in the sample.

Interorganizational conflict in innovation ecosystems are inevitable, but the previous literature is inconclusive about how the interrelation between MCS and relational capabilities can foster the management of these conflicts. By providing evidence on the predictors and solutions that lead to high levels of conflict management, this study presents valuable insights into how firms and STPs can mutually promote organizational and relational benefits throughout the innovation activities developed among those involved in innovation ecosystems.

The research on sustainable campus is related to environmental protection and the realization of global sustainable development goals (SDGs). Because the sustainable campus development in China and Japan is carried out around buildings, this paper takes Kitakyushu Science and Research Park as a case to study the characteristics and typical model of sustainable campus in Japan by combined with the characteristics of Chinese sustainable campus.

This study compares the evaluation standards of green buildings between China and Japan, then compares the assessment results of the same typical green building case and finally summarizes the development mode and main realization path by discussing the implications of green buildings on campus sustainability.

The results show that (1) the sustainable campus evaluation in Japan mainly pays attention to the indoor environment, energy utilization and environmental problems. (2) Buildings mainly affect the sustainability of the campus in three aspects: construction, transportation and local. (3) The sustainable campus development model of Science and Research Park can be summarized as follows: taking green building as the core; SDGs as the goals; education as the guarantee; and the integration of industry, education and research as the characteristics.

It mainly provides construction experience for other campuses around the world to coordinate the contradictions between campus buildings and the environment based on sustainable principles in their own construction. It proposes a new sustainable campus construction path of “building–region–environment” integrated development.

This study provides theoretical framework for the development of sustainable campuses that includes long-term construction ideas and current technological support greatly improving the operability of practical applications. It not only enriches the sample cases of global sustainable campuses but also provides new ideas and perspectives for the sustainable development research of the overall campus through quantitative evaluation of building and environmental impacts.

This paper identifies the critical success factors (CSFs) of virtual hotel operator (VHO) in using hotel management system partnerships with small- and medium-sized hotels (SMSHs).

This study uses a qualitative approach, with 25 semi-structured interviews with hotel owners and VHO management. Thematic analysis is used to determine themes to evaluate hotel owners and operators' perceptions.

CSFs for VHO partnership with SMSHs include marketing and promotion strategies, client relationships, training and human resources development, hotel operation management, innovation strategies, capital expenditures and property management systems (PMSs). VHOs also have a symbolic impact on the mutualistic relationship with SMSHs by increasing service and enhancing product competitiveness and profitability.

Findings are beneficial for VHO in determining the most significant CSFs, thereby establishing additional metrics in business performance and increasing resilience in the accommodation sector. Further studies can measure the digital technology factors from VHO, including PMSs and mobile applications.

This study first identifies CSFs for VHO companies from the perspectives of hotel owners and management. This contribution adds to the literature on CSFs in the context of digital technology implementation in SMSHs. Moreover, implications are beneficial for VHO management in determining the most significant CSFs for companies to measure the business performance of the companies and increase resilience in the accommodation sector.

Research into older adults' use of social media remains limited. Driven by increasing digitalisation in China, the authors focus on Chinese older adults (aged 60–75)’ use of WeChat.

This study used a qualitative interpretive approach and interviewed Chinese older adults to uncover their social practices of WeChat use in everyday life.

By using social practice theory (SPT), the paper unfolds Chinese older adults' social practices of WeChat use in everyday life and reveals how they adopt and resist the drastic changes in Chinese society.

The study contributes to new understandings of SPT from technology use by emphasising the dynamic characteristics of its three elements. The authors synthesise both adoptions and resistance in SPT and highlight the importance of understanding three elements interdependently within specific contexts, which are conditioned by structure and agency.

The purpose of the study is to propose a normative approach for market segmentation, profile and monitoring using computing and information technology to analyze User-Generated Content (UGC).

The specific steps include performing a structural analysis of the UGC and extracting the base variables and values from it, generating a consumer characteristics matrix for segmenting process, and finally describing the segments' preferences, regional and dynamic characteristics. The authors verify the feasibility of the method with publicly available data. The external validity of the method is also tested through questionnaires and product regional sales data.

The authors apply the proposed methodology to analyze 53,526 UGCs in the New Energy Vehicle (NEV) market and classify consumers into four segments: Brand-Value Suitors (32%), Rational Consumers (21%), High-Quality Fanciers (26%) and Utility-driven Consumers (21%). The authors describe four segments' preferences, dynamic changes over the past six years and regional characteristics among China's top five sales cities. Then, the authors verify the external validity of the methodology through a questionnaire survey and actual NEV sales in China.

The proposed method enables companies to utilize computing and information technology to understand the market structure and grasp the dynamic trends of market segments, which assists them in developing R&D and marketing plans.

This study contributes to the research on UGC-based universal market segmentation methods. In addition, the proposed UGC structural analysis algorithm implements a more fine-grained data analysis.

The objective of this research is to evaluate and rank the factors influencing omnichannel (OC) logistics, while also investigating the significant impact of big data analytics in improving these drivers of OC logistics.

Using exploratory sequential mixed method design, an in-person interview survey was conducted to identify and stratifies the enablers of OC retailing. These interviews were supplemented with a case study in an apparel firm to prioritise the enablers of OC logistics. Further, a survey was conducted to understand the role of big data analytics in improving drivers of OC logistics as well as the role of Individual capability and organisational capability in big data usage for omnichannel retailing.

Findings represent that information management is the most important driver followed by inventory management and network design for improving OC logistics. Further, significant relationship between big data analytics and drivers of omnichannel logistics has been reported.

This study identifies and classifies the drivers of OC retailing relating to their level of criticality in OC logistics which will assists practitioners to prioritise their tasks for the successful development of OC logistics. The study will also help practitioners to use BDA for developing the drivers of OC.

The study substantiates and adds to the BDA literature by emphasising the positive role of BDA in development of OC driver and highlighting the significant role of drivers of BDA in its usage.

Land value in urban areas in India is influenced by regulations, bylaws and the amenities associated with them. Planning interventions play a significant role in enhancing the quality of the neighbourhood, thereby resulting in a change in its value. Land is a distinct commodity due to its fixed location, and planning interventions are also specific to certain locations. Consequently, the factors influencing land value will vary across different areas. While recent literature has explored some determinants of land value individually, conducting a comprehensive study specific to each location would be more beneficial for making informed policy decisions. Therefore, this article aims to examine and identify the critical factors that impact the value of residential land in the National Capital Territory of Delhi, India.

The study employed a combination of semi-structured and structured interview methods to construct a Relative Importance Index (RII) and ascertain the critical determinants affecting residential land value. A sample of 36 experts, comprising property valuers, urban planners and real estate professionals operating within the National Capital Territory of Delhi, India, were selected using snowball sampling techniques. Subsequently, rank correlation and ANOVA methods were employed to evaluate the obtained results.

Location and stage of urban development are the most critical determinants in determining residential land values in the National Capital Territory of Delhi, India. The study identifies a total of 13 critical determinants.

A scenario planning approach can be developed to achieve an equitable distribution of values and land use entropy. A land value assessment model can also be developed to assist professional valuers.

There has been a lack of emphasis on assessing the impact of planning interventions and territorial regulation on land values in the context of Delhi. This study will contribute to policy decision-making by developing a rank list of planning-based determinants of land value.

Corporate social responsibility (CSR) activities of companies have been reported to generate favorable consumer attitudes towards the business, which in turn, encourages positive consumer behavior. But the application of this conclusion in the mobile commerce domain remains limited. Drawing on social exchange theory, the authors examined the mediating role of trusting beliefs and satisfaction in the relationship between CSR and purchase intention in mobile commerce.

Using nonprobability convenience sampling, the authors administered a cross-sectional survey with 314 students from Keimyung University in Korea. Initially, SPSS-Amos was utilized to run confirmatory factor analysis. The proposed hypotheses were tested using structural equation modeling.

This study showed that two components of trusting beliefs, namely benevolence and competence, had a positive effect on the association between CSR and the purchase intention on mobile shopping applications. This relationship was partially mediated by trusting beliefs. Further findings demonstrated that the impact of CSR on purchase intention was also partially mediated by satisfaction.

The authors' contribution includes extending the social exchange theory to the mobile commerce setting by establishing mechanisms that explain the ways CSR influences purchase intention in the mobile commerce framework. The authors integrated trusting beliefs and satisfaction in the CRS chain link with purchase intention. Additionally, the authors examined the individual effects of three trusting beliefs components. Based on the results, the authors proposed suggestions for the mobile shopping application business on the methods they can implement to boost the outcomes of their CSR activities.

:過去的研究結果、均顯示公司的企業社會責任行為會產生對公司良好的消費者態度,而這消費者態度,則進而促進積極的消費行為; 唯這結論的應用、在移動商務的領域內仍是有限的。我們利用社會交換理論、探討了信任的信念和滿意在移動商務裡的企業社會責任與購買意圖之間的關係上的中介角色。

:透過使用非機率便利抽樣的研究法,我們對來自南韓啟明大學314名學生進行了一個橫向調查研究。最初,我們使用結構方程模型 (SPSS-AMOS) 來進行驗證性因素分析。又用結構方程模型 (SEM) 來為提出的假設進行測試。

:研究結果顯示,信任的信念的兩個組成部分,即仁愛和能力,均於移動購物應用上對企業社會責任與購買意圖之間的關聯有積極正面的影響。這關聯部分上為信任的信念所調節。研究結果更表明了企業社會責任對購買意圖的影響、亦是部分上為滿意所調節的。

:本研究的貢獻、包括藉著建立一個可解釋企業社會責任、如何在移動商務的框架裡影響購買意圖的機制,去把社會交換理論擴展至移動商務的環境。我們在企業社會責任與購買意圖一連串的關聯裡、融入了信任的信念和滿意。而且,我們探討了三個信任的信念的組成部分各自所帶來的影響。我們根據研究的結果,為移動購物應用之商業機構,建議有效的方法,去增強其企業社會責任行為的效果。