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The purpose of this paper is to investigate the determinants of R&D investment at the level of the firm.

A balanced panel of 215 Italian manufacturing firms over the 1995‐2000 period has been used to test the technology‐push, the demand‐pull and the endogenous skill‐bias hypotheses. Econometrically, both the GMM‐SYS estimator and the Least Squares Dummy Variable Corrected (LSDVC) estimator (a recently‐proposed panel data technique particularly suitable for small samples) have been used.

Results support the well‐established technology‐push and demand‐pull hypotheses and, furthermore, supply evidence for the role of skill endowment in increasing a firm's R&D investments.

A limitation of the study concerns the measure of skills which is here, as in previous economic literature, simply the ratio between productive (blue‐collar) and non‐productive (white‐collar) workers. Another limitation of this contribution concerns its limited generalisability: data come from relatively large Italian manufacturing firms, i.e. the service sector and SMEs are not considered.

Consistently with the related managerial and economic literature, the basic result is that current skill endowment may significantly and positively influence a firm's current R&D decision; therefore, adequate education and training policies may indirectly induce an increase in corporate R&D investment. In terms of managerial implications, this means that HRM may be seen as an indirect strategy for improving a firm's R&D effort and ultimately for improving its performance through innovation.

While there is a well‐established literature investigating the so‐called Skill Biased Technological Change, few microeconomic empirical studies have been devoted to test the reverse relationship. The paper aims to fill this gap, testing whether higher skills may induce higher R&D expenditures.

This paper provides remarkable insight into the structural components of a firm's core competence and its development via research and development (R&D) activities for innovation and exporting activities.

The authors have used a positivist design and a deductive methodology. The authors have examined the extant literature developing a theoretical framework to empirically investigate the relationships between a firm's core competence, organisational learning (OL), tacitness, dynamic capability and R&D activities. To carry out this investigation, the authors have collected stratified sample data from 330 firms operating in North East England, a peripheral region of England.

The authors have found that there are indeed significant statistical relationships between these structural components, R&D activities and a firm's core competence, and this nexus is pertinent to innovation and exporting. Furthermore, it is found that North East England is significantly constrained by the lack of finance, technological capability, experts and brain drain. Based on these findings, the authors propose a cooperative R&D framework to narrow down these constraints to assist firms in developing core competencies for innovation and exporting in peripheral regions.

There is an urgent need to investigate the incidence of knowledge-driven activities, R&D, the extent of innovation and exporting activities of firms operating in North East England, a peripheral region of the United Kingdom (UK).

This study provides an original and systematic investigation of the firm's core competence and its formation via key structural components for innovation and exporting within an empirical framework.

This study aims to enrich the current theoretical debate on the growth of start-up firms by extensively investigating the ongoing empirical studies in this research stream. Moreover, this study identifies drivers whose support roles are confirmed in the literature and recommends further research opportunities.

In this study, we analysed the results of 316 empirical studies on start-up firms and growth and also identified and categorised 66 growth drivers. We presented these drivers in three-dimensional charts: 1) the frequency of using each driver in the 316 studies, 2) the consistency of each driver as measured by the number of studies supporting its statistical significance and 3) the net effect (positive or negative) of each driver on growth.

Our analysis compares extant studies on growth drivers and shows some under-explored growth factors of start-up firms.

Both start-up managers and policymakers can benefit from this study. This study provided managers with a fine-grained tool on the main growth drivers and can guide policymakers in supporting policies for start-up firms.

This study provides a rich, fine-grained and coherent picture of several potential growth drivers of start-up firms. Moreover, we extended our analysis to various potential drivers more than previous studies on this topic, thereby providing fruitful insights into the critical growth factors for start-up firms.

The purpose of this paper is to combine studies that describe the spin-off creation process with studies that analyze spin-off determinants to understand the phenomenon of spin-off development.

This paper proposes a theoretical framework to improve our understanding of academic spin-off development in southern Italy. Following a systematic combining approach, the framework is constructed by iteratively matching the concepts derived by the literature on spin-off processes and spin-off determinants with the empirical findings obtained through a case study of 19 spin-offs in southern Italy.

The combination of empirical results and literature analysis helps us to identify a general model for spin-off creation that could be particularly useful to explain the criticalities of their development.

This paper provides implications for policy-makers in southern Italy regarding factors for which intervention would support the creation of new spin-offs. This study also provides useful implications for policy-makers in other contexts, such as areas that may or may not be at a disadvantage.

The resulting framework represents an original contribution to the literature because it: links two aspects – the stages of spin-off creation and determinants of spin-off development – which are often considered separately in existing studies; explores factors that either impede or facilitate the different stages of spin-off development; provides a series of findings that can be successively tested in other studies; and sheds more light on the context of southern Italy, which has been investigated in only a limited number of previous studies.

The purpose of this paper is to focus on how investments in research and development (R&D) and advertising affect the performance of small- and medium-sized enterprises (SMEs) during recessions.

Contingency theory is applied to a data set of 376 Italian clothing SMEs during the period 2000-2010 to test whether investment in R&D and advertising impacts financial performance differently when contingent factors (such as market share, financial leverage and business model change) are taken into account.

Empirical results confirm that market share and leverage moderate the effects of investments in R&D and advertising (i.e. intangibles) on performance, and also that changes in business models are an important contingent factor that explains performance. Specifically, the paper ascertains that a novelty-centered business model, together with investments in intangibles, positively affects performance during recessions.

This study offers an input to the debate on how SMEs develop and sustain their competitive advantage during the recession. It contributes to existent theory by showing whether and how contingencies, such as a firm's market share and leverage, moderate the relationship between performance and investments in R&D and advertising in SMEs. Second, it addresses the call for additional data “about the strategic effects of business models and how they influence the positioning of firms in their competitive environment” (Amit and Zott, 2008, p. 20) by introducing business model change/innovation as a new contingency factor and by empirically testing its effects on “objective measures of firm performance” (Bock et al., 2012, p. 301).

Tourism is a labor-intensive sector with extensive links to other industries and plays a vital role in creating employment. This study aims to propose a new framework to analyze the intrinsic structure of the employment effects of tourism-related sectors and their drivers.

This study uses input–output and structural decomposition analysis (IO-SDA) to quantify the employment effects of tourism-related sectors and their driving mechanisms based on China’s I-O tables of 2002, 2007, 2012 and 2017.

The results show a declining trend in the intensity of direct or indirect employment effects in tourism-related sectors, indicating a decreasing number of jobs directly or indirectly required to create a unit of tourism output. Among tourism-related sectors, catering has the highest intensity of indirect employment effects over the study period. Catering stimulates the indirect employment of agriculture, forestry, animal husbandry, fishery and food and tobacco manufacturing. The decomposition analysis reveals that final demand is the largest contributor to the increase in tourism employment, while technological progress shifts from an employment-creation effect in 2002–2012 to an employment-destruction effect in 2012–2017.

This study proposes a new analytical framework to investigate the structural proportional relationship between the direct and indirect employment effects of various tourism-related sectors and their dynamic changes. Doing so, it provides valuable references for policymakers to promote tourism employment.

旅游相关部门就业效应的驱动因素：以中国为例

摘要

旅游业是一个劳动密集型部门, 与其他国民经济部门有着广泛的联系, 这在创造就业方面发挥着重要作用。本研究旨在建立一个框架, 分析旅游相关部门就业效应的内在结构及其驱动因素。

本研究基于中国2002年、2007年、2012年和2017年的投入产出表, 引入投入产出和结构分解分析（IO-SDA）法量化了旅游相关行业的就业效应及其变化的驱动机制。

旅游相关部门的直接或间接就业强度呈下降趋势, 可见创造一个单位的旅游产出所需的直接或间接工作数量在减少。在旅游相关部门中, 餐饮部门在研究期内的间接就业效应强度最高, 主要带动了农、林、牧、渔业和食品及烟草制造业的间接就业。旅游就业效应变动的驱动因素中, 最终需求是旅游就业效应增加的最大贡献者, 技术效应从2002-2012年期间的就业创造效应转变为2012-2017年期间的就业破坏效应。

本研究建立了一个全新的分析框架, 可以揭示各个旅游相关部门的直接和间接就业效应之间的结构比例关系及其动态变化。对旅游就业效应的驱动因素分析可以为政策制定者提供针对性的建议, 以促进旅游就业。

Factores que impulsan los efectos del empleo en los sectores relacionados con el turismo: El caso de China continental

Resumen

El turismo es un sector intensivo en mano de obra con amplios vínculos con otras industrias y desempeña un papel vital en la creación de empleo. Este estudio propone un nuevo marco para analizar la estructura intrínseca de los efectos en el empleo de los sectores relacionados con el turismo y sus impulsores.

Este estudio utiliza el análisis de entrada-salida (input-output) y de descomposición estructural (structural decomposition) (IO-SDA) para cuantificar los efectos sobre el empleo en los sectores relacionados con el turismo y sus mecanismos impulsores, basándose en las tablas input-output de China de 2002, 2007, 2012 y 2017.

Los resultados muestran una tendencia a la baja en la intensidad de los efectos directos o indirectos del empleo en los sectores relacionados con el turismo, lo que indica un número cada vez menor de puestos de trabajo directos o indirectos necesarios para crear una unidad de producción turística. Entre los sectores relacionados con el turismo, la restauración tiene la mayor intensidad de efectos indirectos sobre el empleo durante el periodo de estudio. La restauración estimula el empleo indirecto de la agricultura, la silvicultura, la ganadería, la pesca y la fabricación de alimentos y tabaco. El análisis de descomposición revela que la demanda final es la que más contribuye al aumento del empleo turístico, mientras que el progreso tecnológico pasa de ser un efecto de creación de empleo en 2002-2012 a un efecto de destrucción de empleo en 2012-2017.

Este estudio propone un nuevo marco analítico para investigar la relación estructural proporcional entre los efectos directos e indirectos del empleo de varios sectores relacionados con el turismo y sus cambios dinámicos. De este modo, proporciona valiosas referencias para que los responsables políticos promuevan el empleo en el sector turístico.

Firms strive to find new ways of boosting value creation through integrating knowledge for innovation. Open innovation has altered this quest for excellence and, accordingly, this study aims to investigate the antecedents and enablers of innovation performance in firms belonging to a knowledge-intensive service sector of a developing country.

As such, data were gathered through a survey approach, targeting telecom service firms in Pakistan. Hypotheses were tested using the partial least squares technique. Measurement and structural models were assessed following the recommended two-stage procedure.

Results showed that knowledge sourcing and customer engagement impact the innovation performance of firms, whereas transformational leadership, knowledge sourcing and customer engagement are linked to innovation with the mediating effect of absorptive capacity.

This research helps to improve the innovation management practices of the firms belonging to this important sector and thus enables them to achieve sustainable competitive advantage through building their absorptive capabilities.

Knowledge-intensive business services are largely excluded from the great debate on open innovation so far, with a few exceptions. This research proposes and tests a model of enablers of open innovation that contributes toward improving the innovation performance of telecom firms in a developing country.

This study aims to analyse the relationship between a patent’s network position in a knowledge search network and the likelihood and speed of patent transactions. Additionally, it explores whether patent scope moderates these relationships.

In this empirical study, the authors collected a sample of patents in the artificial intelligence industry over the period of 1985–2018. Then, the authors examined the direct roles of degree centrality, betweenness centrality and closeness centrality on the likelihood and speed of patent transactions and the moderating role of patent scope in the knowledge search network using the logit and accelerated failure time models.

The findings reveal that degree centrality positively affects both the likelihood and speed of patent transactions, while betweenness centrality enhances the likelihood, and closeness centrality significantly boosts both. However, regarding the speed of patent transactions, closeness centrality is the most impactful, followed by degree centrality, with no significant influence of betweenness centrality. Additionally, the patent scope moderates how betweenness centrality affects the likelihood of transactions.

This study has limitations owing to its exclusive use of data from the Chinese Intellectual Property Office, lack of visibility of the confidential terms of most patent transactions, omission of transaction directionality and focus on a single industry, potentially restricting the breadth and applicability of the findings. In the future, expanding the data set and industries and combining qualitative research methods may be considered to further explore the content of this study.

This study has practical implications for developing a better understanding of how network structure in the knowledge search network affects the likelihood and speed of patent transactions as well as the identification of high-value patents. These findings suggest future directions for patent holders and policymakers to manage and optimise patent portfolios.

This study expands the application boundaries of social network theory and the knowledge-based view by conducting an in-depth analysis of how the position characteristics of patents within the knowledge search network influence their potential and speed of transactions in the technology market. Moreover, it provides a theoretical reference for evaluating patent value and identifying high-quality patents by quantifying network positions. Furthermore, the authors construct three centrality measures and explore the development of patent transactions, particularly within the context of the developing country.