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The purpose of this paper is to explore brand equity from multiple perspectives (tangible and intangible) and their joint consequences, namely, on industrial buyers’ brand loyalty and their long-term commitment. The aim is to provide a more comprehensive framework of the buyer’s behavioral response in the business-to-business context by integrating both trust elements and industrial brand attributes (brand performance and industrial brand image). In addition, the study explores the mediation effects of trust and brand attributes on industrial buyers’ responses such as loyalty and long-term commitment.

Using a survey approach, the study includes respondents working in the heating, ventilating and air-conditioning (HVAC) industry in Malaysia, and data are collected in the industrial air-conditioning segment. The research model was tested with SEM.

Findings show that brand performance and industrial brand image directly affect brand trust but with different effects on buyers’ commitment and loyalty. Interestingly, industrial brand image only mediates the responses via brand trust, while brand performance has a direct effect. Thus, both brand performance and industrial brand image build buyer trust. But in this context, it is brand performance rather than industrial brand image that influences long-term commitment and loyalty. The study concludes that in the HVAC industry, brand performance, industrial brand image, buyer trust, industrial loyalty and commitment build brand equity.

Significant research reveals that, in business-to-business contexts, brand equity depends on the supplier’s brand trust and attributes of the brand such as brand image and brand performance. While useful in guiding a supplier’s or industry’s brand strategy, the study of both brand trust and brand attributes has led to only a partial explanation of the supplier’s or industry’s brand equity. The present research explores industrial brand equity, focussing on tangible assets (performance) and intangible assets (brand image), and their joint consequences.

From the intra- and inter-regional dimensions, this paper investigates the linkage between industrial agglomeration and inventory performance, and further demonstrates the moderating role of firm size and enterprise status in the supply chain on this linkage.

Using a large panel dataset of Chinese manufacturers in the Yangtze River Delta for the period from 2008 to 2013, this study employs the method of spatial econometric analysis via a spatial Durbin model (SDM) to examine the effects of industrial agglomeration on inventory performance. Meanwhile, the moderation model is applied to examine the moderating role of two firm-level heterogeneity factors.

At its core, this research demonstrates that industrial agglomeration is associated with the positive change of inventory performance in the adjacent regions, whereas that in the host region as well as in general does not significantly increase. Additionally, both firm size and enterprise status in the supply chain can positively moderate these effects, except for the moderating role of firm size on the positive spillovers.

In view of firm heterogeneity, managers should take special care when matching their abilities of inventory management with the agglomeration effects. Firms with a high level of inventory management are suited to stay in an industrial cluster, while others would be better in the adjacent regions to enhance inventory performance.

This paper is the first to systematically analyze the effects of industrial agglomeration on inventory performance within and across clusters, and confirm that these effects are contingent upon firm size and enterprise status in the supply chain. It adds to the existing literature by highlighting the spatial spillovers from industrial clusters and enriching the antecedents of inventory leanness.

The purpose of this paper is to analyze the determinants of the performance of regional industrial technology development programs among the regional strategic industrial development program that the central government and Daegu metropolitan city jointly promoted between 2004 and 2012. Specifically, in this research, the authors are trying to identify the effects of R&D capabilities and technical development tasks on technological and managerial performance.

The dependent variables of this study are technical and economic performance. Technical performance, product and process innovation, economic performance, sales and export increases were measured using five-point Likert scales. The authors added the contribution of sales through technology development to economic performance. The independent variable is the company’s R&D capability, measured by the number of R&D staff compared to the average total number of employees from 2004 to 2012. The characteristics of the technology development tasks were measured by technical characteristics, market characteristics and collaborative research types. The technological characteristics were measured by seven factors, including technological change, technical difficulty, potential in commercialization, competition between domestic and foreign competitors, difficulty in introducing overseas technology and the technological gap. Market characteristics were largely divided into complexity, dynamics and competitiveness. The types of collaborative research were divided into whether or not there were collaborative research with the participation of large corporations. The control variables are firm size (number of employees) and firm age. Regression analysis was used to analyze the determinants of performance, and a difference analysis was conducted to determine the effect of collaborative research on performance.

The main determinants of the regional industrial technology development program performance are the characteristics of the technology development task rather than the internal R&D capability; moreover, the technical characteristics, complexity of the developed product market and participation of large corporations had significant effects on R&D capability. The R&D capacity of firms in internal R&D capacity had a significant effect only on the improvement of technology development ability. Therefore, R&D capacity, which is the main determinant of technology innovation, did not have a significant effect on the performance of short-term technology development tasks. Technological change, technological difficulty, competition between domestic and foreign competitors and the technological gap had positive effects on performance, excluding sales contributions. In addition, the complexity of the developed product market such as the diversification of demand, competitive product and sales distribution channels had positive influences on the performance of technology development programs, unlike dynamics and competitiveness. In this study, the authors cannot confirm the effect of collaborative research on the performance of the technology development programs, but they confirmed that collaborative research involving large corporations had a positive influence on performance.

The results of the analysis of the determinants of regional industrial technology development programs suggest some implications in the future evaluation of these regional industrial technology development programs. It is necessary to review the application qualification and merit, advance review of the business plans and confirmation, an examination of the research results and performance of the applicants and a review of the technology and market situation of the project. For this, the authors suggest that the written review from the relevant technical experts be submitted to the evaluation committees. Also, when establishing regional industrial development programs, they should be evaluated thoroughly, including detailed information and contents about the technical and market characteristics of the local industry.

This research is one of the first to investigate the achievements of R&D support programs among regional industrial development programs in Korea. The results of this study can substantially contribute to the development and implementation of the R&D support policies of the central and local governments. Furthermore, the findings suggest guidelines for improving the performance of R&D support programs in the future. A theoretical model for enhancing the efficiency of government R&D support programs may be established, and an empirical analysis may be conducted to provide practical and academic implications for further research.

Product-manufacturing firms are increasingly positioning themselves as providers of industrial services and solutions. Despite the increasing conceptual interest in industrial services, empirical evidence about the factors that mediate the relationships between industrial services and firm performance remains limited. The purpose of this paper is to investigate the relationship between industrial service offerings, service orientation and firm sales and profit performance.

The study uses data from 115 manufacturing firms and adopts a structural equation modeling technique to test a set of hypotheses on service offerings, service orientation and company sales and profit performance.

The results underline the importance of implementing service orientation in employees’ behavior, recruitment, training, and assessment. Service orientation is demonstrated as an essential mediator for the relationship between service offerings, revenues, and profits. The results therefore suggest that both service offerings and service orientation are important when manufacturing companies attempt to position themselves as industrial service providers.

Given the limitations of the sample collected from the Finnish manufacturing industry, future studies could refine the measures and investigate the applicability of the results in other contexts.

The results suggest that developing a service orientation is vital for manufacturing companies to profit from increased offerings of industrial services. Because nurturing service orientation is a central enabler of the impact of service offerings on sales and profit performance, it is in the interests of manufacturing firms moving towards a servitized business model to develop training, compensation, and recruitment policies.

The study establishes a link between service offerings, service orientation, sales, and profit performance in manufacturing firms. This is among the first studies to provide statistical evidence to support claims that even manufacturing firms can benefit from developing integrated product-service solutions.

This paper aims to contribute industrial marketing literature by examining the relationship between market orientation and performance based on multiple perspectives and measures. Although the relationship between market orientation and firm performance has been examined in prior research a gap in the literature exists, as this relationship has not been examined from separate perspectives of managers, salespersons and customers. In addition to this gap in the literature, a further gap exists as these multiple assessments of market orientation have not been examined relative to both subjective and objectives measures of industrial firm performance.

The research is based on data obtained from 111 sales branches of a Fortune 500 industrial supplier.

The results indicate that managers, salespersons and customers all indicate a positive relationship between market orientation and perceived performance. Market orientation and actual branch performance were not related when assessed by any of the three respondent groups. Only salespersons were able to significantly relate perceived firm performance to actual performance.

These findings add a new dimensions to the existing stream of literature on the industrial marketing orientation and performance relationship.

These findings add new dimensions to the existing stream of literature on the industrial marketing orientation and performance relationship.

The purpose of this paper is to test the relationship between innovation performance and innovation spillover effects, innovation inputs, innovation outputs and industrial effects.

The analysis framework including variables such as innovation spillover effect, innovation input, innovation output and industrial effect was constructed. Through the investigation and analysis of the innovation activities of China’s GEM listed companies in 2014–2016, the innovation performance and the above factors were tested.

The research shows that enterprise performance has a significant positive correlation with innovation input and innovation output, but there is no significant correlation or even negative correlation with innovation environment and industry background such as government support and innovation opportunities, and the spillover effect is significant. The negative correlation is also negatively correlated with innovative human capital investment, company age and company Q.

Innovation is the real source of economic growth, and industrial innovation is the system integration of technological innovation, product innovation, market innovation, etc., which is the basic determinant of national competitiveness.

This paper aims to identify and empirically analyze useful and applicable metrics for measuring and managing the sustainability performance of small and medium-sized enterprises (SMEs).

To achieve the objective of the paper, potential metrics were adopted from previous research related to industrial sustainability and an empirical analysis was carried to assess the applicability of the metrics by collecting empirical data from Italian footwear SMEs using a structured questionnaire. The SMEs were selected using a convenience sampling method.

The results of the within-case analysis and the cross-case analysis indicate that the majority of the metrics were found to be useful and applicable to each of the SMEs and across the SMEs, respectively. These metrics emphasized measuring industrial sustainability performance related to financial benefits, costs and market competitiveness for the economic sustainability dimension; resources for the environmental sustainability dimension; and customers, employees and the community for the social sustainability dimension.

Apart from the within-case analysis and cross-case analysis, it was not possible to conduct statistical analysis since a small number of SMEs were accessible to collect empirical data.

The findings of the paper have considerable academic, managerial and policy implications and will provide a theoretical basis for future research on measuring and managing industrial sustainability performance. By providing a set of empirically supported metrics based on the triple bottom line approach (i.e. economic, environmental and social metrics), this paper contributes to the existing knowledge in the field of industrial sustainability performance measurement.

As enterprises focus on offering integrated product/service bundles, performance‐based contracts become ever so important in ensuring effective delivery. Performance‐based contracts fall under the result‐oriented category of industrial product service systems (PSSs). The paper aims to present a conceptual framework for operations strategy in performance‐based industrial PSSs that will help manufacturing companies configure their operations to support effective delivery of integrated product/service offering.

This paper first develops a conceptual framework for operations strategy in performance‐based contracts by identifying the key elements after a detailed systematic review of literature. A major shift in support and maintenance logistics for complex engineering systems over the past few years has been observed in the defence and aerospace industries. Availability contracting, a special type of performance‐based contracts, is replacing traditional service procurement practices. Two exploratory case studies involving defence availability contracts are conducted for making inferences regarding the operations strategy.

The important findings of this research are a set of elements of operations strategy guiding the development of a conceptual framework, a set of operating principles and processes supporting effective delivery of performance‐based service contracts.

The true value of this research is to open up the novel area of result‐oriented industrial PSSs operations strategy by capturing the key characteristics of operations using both literature and empirical evidence.

An empirical study is reported which examines the relationships between industrial relations climate and variables reflecting the state of the firm's performance, industrial relations structure, and overall effectiveness in 28 manufacturing companies. In addition to reporting the patterns of association between each of these aspects, multivariate analyses are employed in order to (i) ascertain the direct and indirect influences of industrial relations climate and other variables under study on company effectiveness, and (ii) examine the assumptions about the direction of causality between industrial relations climate and effectiveness. The results highlight the relationships between the above variables and emphasise the importance of conceptualising industrial relations climate in such a way that can adequately reflect the attitudes and behaviour of industrial relations actors. Path analysis suggests that the pattern of causality is not a simple one but involves reciprocal and feedback relationships. However, the mprovement to the explanatory power of company effectiveness by including the notion of industrial relations limate in research, is clearly demonstrated.

The purpose of this paper is to categorize industrial clusters, and then compare three industrial clusters of three countries from the perspectives of hard environment, soft environment, factors from supply and demand sides, and the network mechanism.

Data were collected through interview with cluster coordinators. Qualitative case studies were conducted.

The center of excellence behaves well in nearly all aspects, while the spatially narrowly distributed specific center of innovation mainly exploits benefits from its concentrated sector. For the Chinese comprehensive technology incubator, relatively limited geographical space and broad sectorial distribution endow it with unclear strengths, implying the inadequacy of interconnectedness and industry relatedness mentioned by Porter.

Data were collected mainly from cluster coordinators, implying further data collecting and more comprehensive analysis.

It only makes sense to compare industrial clusters that are comparable with each other. Elements must be matched to facilitate the network interactions, and hence the innovation performance of clusters.

This paper contributes to the theoretical basis through it analyzing and clarifying the scales to measure industrial clusters, and answers the question: what is the situation of industrial clusters behaving in several aspects including hard environment, soft environment, supply, demand, network interactions and innovation performance?