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This study follows the tenets of the resource dependence theory (RDT) to investigate the effects of four dimensions of industry-level environmental uncertainty – munificence, dynamism, complexity and innovative intensity – on a shipper's cross-buying (i.e. outsourcing across multiple service categories) in logistics outsourcing arrangements.

Negative binomial regression was used to test the hypotheses with a sample of US manufacturers. Measures were developed through information acquired from a proprietary database of 3PL companies obtained through Armstrong and Associates, Inc. and publicly available industry measures from the US Manufacturing Census and Compustat.

The findings indicate that individual dimensions of environmental uncertainty exhibit distinct influences on shippers' cross-buying in their logistics outsourcing arrangements. Specifically, the growth and initial innovative intensity of shippers' industries lead to an increased number of logistics service categories outsourced to 3PLs, while industry dynamism and exceptionally high innovative intensity drive the opposite effect.

These findings provide valuable guidance to 3PLs with respect to decisions related to the acquisition of specialized transportation, storage, information systems and personnel assets to serve specific industries. The findings highlight industry conditions that are more likely to lead shippers to outsource across a wider array of logistics service categories and, as a result, potentially yield higher customer retention and profit margins.

While extant 3PL literature posits that shippers' individual strategic orientations and capabilities impact their outsourcing strategy, this study contributes to the literature by providing a theoretical-based empirical examination of the industry-level influencers of such behavior.

This study aims to examine how temporary employment and organizational size moderate the effect of human capital on firm performance. The authors also analyze the overall effect of human capital, temporary contracts and organizational size on firm performance. This enables them to identify which combination of these three variables leads to the highest levels of profitability.

From a sample of 1,403 Spanish firms, the authors carry out a comparative analysis of the impact of human capital on labor productivity and return on sales among small and large companies with high and low use of temporary employment.

The positive effect of human capital on return of sales is greater in large firms with low temporary employment than in small firms with high temporary employment. In addition, this positive effect is not universal because in some scenarios it is not significant. The most beneficial context is that of large companies with a high level of human capital and a low use of temporary employment.

The results should be interpreted within the Spanish manufacturing sector.

Decisions about investment in human capital and the use of temporary workers should be taken jointly by personnel managers, in accordance with the size of the firm. If this holistic view is ignored, a full understanding of the impact of human capital on firm performance will be obscured. On the other hand, a common feature that large and small firms share is an incompatibility between human capital and temporary employment.

Growing interest has been shown in the degree to which investment in human capital contributes to firm performance; yet limited research attention has been paid to the contextual conditions that moderate this relationship. Investment in human capital can be more beneficial in some scenarios than in others.

This paper aims to examine the relationship between research and development (R&D) intensity and innovative performance and R&D intensity as a moderating variable in the relationship between sources of information and innovative performance.

This is a quantitative, nonexperimental, cross-sectional study of the data collected from national surveys of innovation activities from Ecuador, Peru and Chile where the investigation was carried out. A bivariate probit regression was applied.

The results of the investigation pinpoint that R&D intensity is positively related to the innovation of products and processes in Ecuador and Peru. However, no relationship was found in Chile. As a moderating variable of the information sources (customers, suppliers and competitors), and the innovation of products and processes, it shows different results in the three countries examined.

This study contributes to the literature with evidence in countries with low rates of investment in R&D in the countries examined, this relationship does not always exist; this relationship is considered to be dependent on the complexity of the knowledge and internal capabilities of the company required to achieve innovation, and this complexity could vary according to the type of manufacturing and technology level of the companies. Thus, in manufacturing companies of less complexity to achieve the necessary knowledge for innovation, low rates of investment in R&D are sufficient for the relationship to exist.

By increasing their R&D intensity, companies acquire technology and develop internal skills and capabilities that boost their innovative potential. Nevertheless, it is not enough to increase R&D intensity to take advantage of external sources of information, it is also necessary to boost the absorptive capacity to assimilate and take advantage of external knowledge.

This study contributes to the scarce evidence that exists, on the literature in developing countries, on the effect of R&D intensity on innovative performance and provides evidence of R&D intensity as a moderating variable of the relationship between sources of information and innovative performance.

The purpose of this study is to investigate the factors that impede innovation in Colombian manufacturing firms, as measured by the level of technological intensity.

The authors used data from 1,850 firms to determine the barriers associated with information and internal capabilities, risks and environment.

The main results of this study confirm that potentially innovative firms of low technological intensity are more likely to ascribe high importance to obstacles associated with information and internal capabilities, when compared with innovative firms. The abandonment of innovative projects, family-operated enterprises and investment in R&D are all related to an increased perception of obstacles to innovation, while investments in information and communication technologies have an opposite effect. Variables as partnerships and export behaviour, have different effects depending on the level of technological intensity.

This study investigates the obstacles to innovation of a firm as determined by its characteristics and as measured against its level of technological intensity. Previous studies have investigated barriers to innovation in technologically advanced sectors (Lachman and López, 2019) and technology-based SMEs (De Moraes Silva et al. 2020) or how the technological intensity of the firm determines access to university knowledge for overcoming barriers (Kanama and Nishikawa, 2017). The only study to analyse barriers to innovation by measuring a firm’s technological intensity was conducted into Mexican manufacturing and services sector companies by Santiago et al. (2017).

This paper aims to test the existence of the so-called industrial district effect on innovation (iMID effect) in Spain and Italy and to compare the intensity of this effect between both countries. There is previous evidence of this effect for Spain, although, to the best of the authors’ knowledge, it has never been measured for Italy.

Innovation intensity by local production system is measured using patents per million employees and analysed using the mean, the median, 3D maps and statistical tests.

Industrial districts generate between a third and a quarter of all technological innovations in Spain and Italy. The evidence about the district effect in innovation in Spain is consistent with previous studies. The novelty is that there is also evidence of this effect for Italy and its intensity is higher than for Spain. Almost one-half of the industrial districts fit in the most innovative quartile of local production systems, and they are located in the most innovative part of each country.

Limitations of this study include minor database issues. Implications include new focus on the general relevance of industrial districts as highly innovative local production systems and top innovators.

Reorientation of territorial and innovation policies.

Effect on development and well-being through technical progress.

This article provides, for the first time, to the best of the authors’ knowledge, a measurement of the industrial district effect on innovation in Italy. The paper compares the results between Spain and Italy and allows for generalization of previous evidence, concluding that highly innovative industrial districts are not “rare diamonds”, revealing as an alternative and an extraordinarily powerful place-based innovation model.

Organizations that decide to invest in innovation must define how this will be done: internally, externally or in a hybrid way, developing internal research and establishing partnerships with other agents of the innovation system. This paper aims to analyze whether the service companies’ intensity of openness and innovation efforts are related to their innovative and financial performances. Open innovation assumes that organizations should use external and internal resources as they develop new technologies.

The study used data from the survey of technological innovation (Pintec). As regards innovations, it was considered the commercial and operational innovation performances and the innovative novelty performance. As regards financial performance, it was considered the overall net sales per employee. The intensity of open innovation was measured by the combination of breadth and depth (diversity and importance of the interfaces). The innovative effort was measured by spending on innovation activities. Regressions were applied to evaluate a set of hypotheses.

The results indicate that companies with a greater orientation toward open innovation presented better scores. The results also lead to the conclusion that foreign firm ownership structure and being part of a corporate group were the factors that caused the greatest impact on financial performance in the service sector.

The study provides empirical data on the importance of open innovation in improving organizations' performance, especially the breadth of open innovation.

The study contributes to expanding the research field addressing the relationship between service innovation and performance.

This paper presents a stepwise method for identification and analysis of innovative activities in production systems. The purpose of this paper is to provide a structure in order to propose the risk paradigms and factors corresponding to the innovative activities and evaluation of the impact of these activities on innovation decisions and investment.

The model used here is an analytical approach that evaluates the impact of innovative activities on innovation decision and investment using product opportunity gap (POG) concept. This framework is applied for innovative activities of Asian industrial field, and the risk of innovative activities is calculated by weighted risk analysis method. In this method, the risk weights and intensities are estimated by the average of experts’ opinions in interviews.

This implementation discovered some useful information being used by investors, innovators and policymakers for taking the best strategies and decisions in various innovation domains such as innovation management, risk management and innovation policy. The results of this study show that the product innovation is the most popular category of innovation that has occurred in Asian manufacturing industries, and the product innovation, marketing innovation and organizational innovation have the most influence on technology, economic and social changes intensity, respectively.

This study analyzed the risk of innovative activities after their occurrence and because of different views of experts, there were diverse and sometimes contradictory analyses of innovative activities risk.

This paper links two separate and important sectors of innovation domain: innovation risk and innovation decision making and investment. POG plays the role of a bridge to connect the two mentioned sectors and shows how innovation causes the technological, economic and social changes. This paper also provides useful and practical information for innovation investors and decision makers to take the best decisions and to avoid the probable failures and losses.

This paper aims to determine the influence of various enterprise characteristics on on-the-job training. The paper focuses mainly on identifying the influence of a firm’s innovative activity, technological capacity for manufacturing and product market competition on its likelihood of having a training program and on training intensity.

The authors administered a firm-level survey to a sample of 2,000 Russian enterprises. This survey includes questions about on-the-job training and key information about the companies’ activities. Probit and ordered probit estimates are used in the statistical analyses.

The results indicate that an enterprise’s provision of training is determined largely by firm-specific factors, such as its innovative activity, technical and technological state of manufacturing and product market competition. The authors adopt two widely used measures of training: incidence and intensity. Innovative activity and the technical and technological state of manufacturing are decisive factors in explaining a firm’s provision of training, as they have a strictly positive effect on both the incidence and the intensity of training. Product market competition has a positive effect on the incidence of training and a negative effect on the intensity of training.

This paper is original because it assumes that the process of deciding whether to implement a training program at an enterprise and the corresponding proportion of employees involved in training is built on the presupposition that the training intensity decision is made in two stages. This paper is the first to present estimates of on-the-job training intensity based on data from Russian enterprises.

This paper aims to investigate the impact of the factors affecting open innovation (OI) intensity, in terms of three components of cooperative innovation, resource search and external research and development (R&D), as well as the impact of OI intensity on commercialization performance in small and medium-sized enterprises.

The data obtained from the distributed questionnaire among small and medium-sized enterprises (SMEs) from Isfahan Science and Technology Town (ISTT) in Iran, was analyzed using inferential and parametric statistics to examine the research hypotheses. In this analysis, structural equation tests were used to confirm or reject the research hypotheses using Smart PLS software.

The results indicate that all three OI components influence commercialization in technology-based firms of ISTT, while the most important one is cooperative innovation. Among the factors affecting OI components, innovative incentives are the most effective one that increases both external R&D and cooperative innovation. Facilitators and limitations of open innovation are also affecting OI intensity, with lower priorities.

Science park managers and policymakers should lay the ground for enhancing the cooperation intensity among firms. Cooperation intensity is the most effective open innovation component to improve commercialization performance.

Open innovation antecedents and its consequence on commercialization performance have been investigated for the same time in SMEs of a science park.

This study investigates the impact of cooperation with external partners on the intensity of product innovation as well as its commercial success. The focus is on firms located in the Eastern European countries that are seldom a subject of empirical innovation studies. The theoretical framework takes into account that moderate and modest innovator countries, which comprise the sample, have distinct innovation ecosystems relative to advanced economies.

The study uses data from the Business Environment and Enterprise Performance Survey (BEEPS) that was conducted in 2013–2014 and covering the period of the past three years. Product innovation is measured through its intensity (a number of product innovation) and through its commercial success (innovative sales). A set of hypotheses are tested using a negative binomial estimator (for the number of product innovation) and a tobit estimator (for innovative sales) estimated in Stata statistical software.

Empirical findings show that vertical cooperation has a positive effect on the intensity of innovation activities. In contrast, the authors find no evidence that horizontal cooperation or cooperation with science partners (universities and research centres) increase innovation intensity or its commercial success. Besides vertical cooperation, for a commercial success, it is equally beneficial for firms to use their own innovative ideas. These results taken together suggest that closed innovation and cooperation with customers and suppliers are critical determinants of product innovation in Eastern European firms.

The study contributes to expanding the research on knowledge management and open innovation in less advanced economies.