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Organizations increasingly seek to leverage open innovation (OI) communities to generate and advance novel ideas through collaborative innovation efforts of their members. However, success is far from guaranteed, as OI communities can only thrive depending on individual and collective member contributions. This study aims to examine individual and social determinants that encourage members to first generate novel ideas, then collaboratively advance these ideas through cocreation with other members, a process this study terms member “(co)creativity.”

A survey design was used to collect data from 301 OI community members, which this study analyzed through component-based structural equation modeling using the partial least squares (PLS) method.

Drawing on componential theory of creativity and innovation, this study demonstrates the role of members’ creative identity, creative self-efficacy and domain-relevant knowledge as determinants for their novel idea generation. While novel idea generation leads to members’ participation in collaborative innovation, this relationship is partially mediated by members’ willingness to cocreate in this process. This process is further conditioned by social determinants and leads to members’ creative self-enrichment as a result of collaborating in OI communities.

Taking a member perspective, this study advances marketing innovation theorizing by investigating critical determinants of effective OI communities, informing managers about success factors that promote collaborative innovation in OI communities.

This helps overcome rather reductionist innovation models and highlights interdependencies between the individual and social determinants from a theoretical perspective while helping managers better understand important OI member profiles and social aspects that can foster the success of OI communities.

To the best of the authors’ knowledge, this study is the first to examine the notion of member (co)creativity in OI communities and its determinants for effective collaborative innovation. This study also demonstrates self-enrichment as an important outcome of (co)creativity.

Product-service innovation (i.e. servitization) is providing opportunities to small and medium-sized enterprises (SMEs) to offer services that are directly coupled to their products. Despite scholarly efforts on servitization in domestic markets, the determinants of international product-service innovation remain unclear. Therefore, this study draws insights from dynamic capability (DC) view and aims to examine the international human capital and international product-service innovation relationship. Specifically, the authors argue that the effect of international human capital on international product-service innovation is mediated by international inter-organizational marketing capability (IIMC) and moderated by international market complexity.

The authors test the conceptual model using structural equation modeling on a sample of 211 SMEs operating in United Arab Emirates (UAE) – an emerging market economy.

The results show that IIMC mediates the relationship between international human capital and international product-service innovation. The authors further found that the indirect relationship between international human capital and international product-service innovation is strengthened when international market complexity increases in magnitude.

This study advances the knowledge on international servitization by examining international human capital and IIMC as the determinants and international market complexity as a moderator. Data collection in the UAE contributes to empirical research on international servitization from emerging markets.

Micro, small and medium-sized enterprises are the live wire of construction industry in developing countries. These classes of establishments are most affected by economic contraction and turmoil, thus affecting their performance and survivability. Hence, the purpose of this study is to investigate and prioritize the survival determinants of construction consulting organization during economic contraction in Nigeria using quantity surveying firms as a focal point.

The study adopted the descriptive-survey design and quantitative data were collected through questionnaire purposely administered to quantity surveying firms in the Southwestern part of Nigeria. The data obtained from 99 quantity surveying firms on survival determinants were analysed using various statistical analysis such as mean score, standard deviation, Mann–Whitney U test, Kruskal–Wallis H test, and so on. Principal component analysis was used to identify the principal components of survival determinants, while the factors were prioritized using fuzzy synthetic evaluation (FSE).

The result of the analysis reveals eight factors that significantly determines the survival of firms during the period of economic contraction. Furthermore, the eight grouped factors were prioritized accordingly namely firm's innovation and diversification, ownership structure and networking, education level and management skills, and so on.

This study investigated the survival determinants of quantity surveying firms and prioritized it with the opinions of principal partners in quantity surveying establishments. As against obtaining large survey responses from all quantity surveyors in the study area that may not have practical experience of managing firms, the limited responses received provide valid basis to broaden the horizon of professionals and other stakeholders on the key determinants for firms to survive economic turmoil.

This study contributes to the body of knowledge by providing information on prioritized factors that must be considered in an appropriate order by quantity surveying firms to survive economic contraction.

Companies need to innovate to remain in the market and be competitive. Thus, success will depend on your internal resources and the external sources of knowledge used. The cooperation between univerity and industry (U–I) allows companies to access resources that, in general, they do not have, allowing them to achieve innovation, competitive advantages, and competitiveness. The purpose of this study is to understand the determinants that influence U–I cooperation in creating knowledge and innovation.

This study analyzes the determinants considered essential for companies to establish cooperation processes with universities. The research uses the last community innovation survey data set, data from 14 countries, and 28,743 observations. The method uses logistic regression.

The results confirm that the company's size, the innovative capacities associated with R&D, exportation and public funds are essential and significant determinants for the cooperation with universities. On the other hand, the acquisition of machinery and training programs are not a critical factor in establishing cooperation with universities that are not in the same country. The analysis considered companies cooperation with universities of the same country, from the European Union (EU) or other countries outside EU.

In addition to providing substantial theoretical contributions on the subject, this research also provides more information about the importance of U–I cooperation, allowing to characterize companies interested in developing U–I cooperation.

The eNaira is the central bank digital currency of Nigeria. People who are interested in the eNaira and financial inclusion will seek information about eNaira and financial inclusion. Their interest in information about eNaira and financial inclusion will make it easier for them to adopt the eNaira and embrace other financial inclusion innovations such as FinTech and cryptocurrency. This paper investigates the determinants of interest in eNaira and financial inclusion information.

The data were analyzed using descriptive statistics, correlation analysis and ordinary least squares (OLS) regression. The study also used the GMM and 2SLS regression methods for robustness.

Using interest over time data, the findings of this study reveal that interest in financial technology (FinTech) and eNaira information are significant positive determinants of interest in financial inclusion information. Also, interest in financial inclusion is a significant positive determinant of interest in eNaira information. Furthermore, interest in FinTech information has a positive and significant correlation with interest in financial inclusion information. There is also a significant positive correlation between interest in central bank digital currency information and interest in FinTech information. The implication of the findings is that interest in information about new financial innovations, such as FinTech and eNaira, can stimulate interest in information about financial inclusion.

The literature has not examined the determinants of interest in eNaira and financial inclusion information yet.

The aim of this paper is to understand if service innovation (Helkkula et al., 2018), based on artificial intelligence (AI) systems, may guarantee healthcare service ecosystem (H-SES) well-being (Frow et al., 2019; Beirão et al., 2017), taking into account that many doubts relieved in terms of transparency may compromise the patients' perceived quality of health services provided through AI systems.

A literature review on service innovation, detected in terms of value co-creation, and service ecosystem, investigated in terms of well-being, is drawn. To analyze the implications of service innovation on a H-SES well-being, through the technology acceptance degree and predisposition to use by actors, a case study based on TAM-model 3 determinants as categories is carried out.

AI-based service innovation archetypes in healthcare may be considered as antecedents of the service ecosystem well-being conditions as long as they enable actors to co-create value. To make it possible, a patient-driven service innovation is necessary in order to mitigate the risks of its inactivity due to fears in terms of transparency.

Service innovation and service ecosystem well-being may be studied in an integrated way, with a multidisciplinary approach, and are linked by value co-creation, because only thanks a patient-driven service innovation is possible to foster service ecosystem well-being in healthcare.

This paper aims to measure the extent of digital financial inclusion (DFI) and examine the effect of socioeconomic characteristics on using government remittances and the adoption of digital financial services (DFS) during the COVID-19 pandemic.

The World Bank Global Financial Inclusion (Global Findex) database 2021 is used in this study, with a sample size of 3,000 Indian individuals. The study measured the demand-side analysis of DFI, namely, accessibility and usage of DFS with selected socioeconomic characteristics such as gender, age, income, education, being in the workforce and residential status of respondents. The dependent variable is binary in nature; therefore, the logistic regression model is used for the data analysis.

The results of the study reveal that individuals’ socioeconomic factors, such as female, all the age groups, tertiary education, third- and fourth-income quintile and workforce, are found to have a significant association with “accessibility,” an exogenous variable of DFS. Besides, respondents’ socioeconomic attributes, namely, female, tertiary education, income for all quintiles and workforce, are more likely to use DFSs in the COVID-19 pandemic. The study also finds the residential status of individuals is influencing the accessibility and usage of DFS.

The findings of the study provide valuable insights to the service providers and policymakers regarding the rapid expansion of DFS by digital infrastructure, simplifying the banking procedures and highlighting the importance of digital financial literacy to accomplish government goals through serving the unbanked population and also design strategies for achieving the objectives of Digital India: “Faceless, Paperless, and Cashless” of DFI across the country.

Notable studies used World Bank Findex survey data to explore the determinants of financial inclusion in general. This research is one among the few studies to explore the determinants of India’s DFI. Moreover, this study measured the effect of individual socioeconomic attributes on the adoption of DFSs during the COVID-19 pandemic, which has not been included in prior studies. Therefore, this study has added value to the existing literature on financial technology innovation and DFS for the sustainable development of emerging nations.

This paper aims to propose a conceptual framework showing factors favoring the adoption of information systems (IS)-based service innovations in the public sector at the organizational level.

The research design is based on the development of a theoretical framework from the technology–organization–environment framework and from a case study of an outsourced IS-based electronic document management system from six different ministries in the same state in Mexico.

Strong contrasts in the degree of adoption of the service innovation appeared among various ministries involved in state government, revealing differences in the presence or absence of key variables, integrated into theoretical framework, including perception of external pressure; perception of benefits and risks and organizational readiness; and political, sociotechnical and economical inertia in given institutional conditions, leading to different public value outcomes associated with intraorganizational efficiencies and to the relationship between public administration and politicians.

Public managers must consider process mapping and sources of political, sociotechnical and economical inertia in given institutional conditions, to ensure a satisfactory adoption of service innovations in public administration and create public value. The promotion of a more structured and enduring professional career system in such context is another key to the adoption of innovations.

Based on theoretical and empirical grounds, the main contribution of this paper is to emphasize, through an integrated theoretical framework, the relatively unexplored roles of process mapping in organizational readiness and of political, sociotechnical and economic sources of inertia in relation to specific agents in the adoption of public sector service innovations at the organizational level in the context of the public administration in Mexico to produce public value.

In 2020, the logistics market in Malaysia was valued at USD 37.60 billion, and it is projected to grow to more than USD 55.0 billion by 2026 at a compound annual growth rate (CAGR) of more than 4%. However, more information is needed about the impact of green logistic practice determinants by the local SMEs on the market share. This study serves as a focal point by examining the factors involved by offering a conceptual framework of determinants and their potential outcomes. This study contributes by demonstrating a conceptual, theoretical framework derived from the synthesis of two theory such as the Resource-Based View theory and the Diffusion of Innovation Theory. At the same time, it offers a holistic approach with an in-depth understanding of the Technological and Organizational factors of SMEs. The relationship between the implementation of green practices and organizational performance is also explored.

This paper empirically explored the influence of external and internal factors on technological and non-technological innovation of 5747 Indian firms. The study also explored novel insights about manufacturing firms by segregating them into high-technology and low-technology industries.

The study employed hierarchical regression analysis to analyse a cross-sectional dataset gathered from the World Bank enterprise survey. The firms are segregated into high-technology and low-technology industries based on the technology-intensity classification of the manufacturing industry given by the Organisation for Economic Co-operation and Development.

The main results highlight that technological and non-technological innovation was primarily driven by internal resources and capabilities rather than external factors. The authors found the highest effect of research and development spending on both forms of innovation. In both high-tech and low-tech industries, technology transfer is positively associated with technological innovation and negatively associated with non-technological innovation. Furthermore, external business support has substantially influenced non-technological innovation in low-tech industries.

This study used two-step hierarchical regression to explore the influence of external and internal factors on technological and non-technological innovation separately. Exploring determinants of innovation in high-technology and low-technology industries also brings the distinct prerequisites of enhancing innovation to the attention of policymakers and industry experts.