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This paper aims to discuss the mediating effects of innovation on the relationship between knowledge management and firm competitiveness.

A self-administered questionnaire was used to collect data from small construction firms in the Eastern Region of Peninsular Malaysia. Out of the 190 construction firms surveyed, 153 (80.5%) respondents returned their completed questionnaire. These were used for data analysis. The data were then analyzed using the covariance-based structural equation modeling (SEM).

Knowledge management had a direct and significant positive effect on firm competitiveness. Nonetheless, the effect of knowledge management on firm competitiveness was mediated by innovation. This indicates that knowledge management should be supported by technical and administrative innovations in the firm.

The data collected were from a limited sample of construction firms. In addition, conducting a study on a region of Malaysia may limit the generalizability of the model.

While knowledge management is crucial for a firm’s competitiveness, technical and administrative innovations must be concurrently improved for a stronger firm competitiveness. This is especially true in terms of financial strength and core competence.

This paper provides some empirical evidence that technical and administrative innovations fully mediated the relationship between knowledge management and firm competitiveness. The results consolidate the resource-based view on the importance of internal resource and capability of the firm and improve KM research area. It also strengthens the view that KM is a critical factor for firm competitiveness, but a good KM without strong innovation will not increase the competitiveness of small construction firms.

The purpose of this paper is to construct an empirical model of innovation as a competence of individuals and validate it. The model takes into consideration the multidimensional characteristics of individuals and the parameters of surrounding ecosystem and establishes their associations with the innovation as a competence.

The model is built based on an extensive review of literature relating to innovation. A diagnostic study is conducted in a large information technology (IT) company to validate the model. The experiment is conducted over a sample of 442 individuals and uses appropriate reliability measures and chi square analysis as a validation technique.

The study establishes association of various measures of innovation competency with individual characteristics and ecosystem parameters. Some of the salient findings are that individuals having a high degree of self‐belief, and an ecosystem where the habits of celebrating success and competitive market are found, do better on innovation as a competence.

This study has significant implications and its findings can facilitate individuals and ecosystem managers to undertake progressive actions. Although the findings are limited to the IT industry, the implications can spread over to formulating competence development strategy in any organizational setting. However, the scope exists to make the research broad based, including factors such as geography, culture, business area of operation, size of organization, etc.

Innovation as a competence of an individual is pivotal to an organization's competitive advantage. This study can facilitate competency management, such as competency planning, deployment, development, utilization and ecosystem up‐gradation.

The model is empirical in nature and has been tested in a large Indian IT firm and the managers have found this model pragmatic and practical.

The purpose of this research is to propose a new model for the integration of concurrent function deployment (CFD) and parameter (P) diagram in order to prioritize innovation factors.

Each of the approaches of CFD and P diagram and their features has been demonstrated and according to their common features, an integrated model has been designed in two phases. It has been examined in Sepahan Industrial Group, of which the major product is API gas pipeline network demanded by Isfahan Province Gas Organization. A questionnaire has been designed and delivered to four major units of Isfahan Province Gas Organization.

“Hydrostatic test” and “number of close end branch pipes” with the average values of 4.78 and 3.31 have been found as the first and last priorities of importance to customers, respectively. The output of the first phase includes “equipments” as the first priority of control factors, and “changing market or customers wants” as the first priority of noise factors. The results of the second phase show that “fault‐free product” and “successful innovation outcomes” are, respectively, recognized as first priorities of response factors. Finally, “successful innovation outcomes” has been determined as the first priority of response factors.

The matrixes of the two phases could become larger if the number of factors in the P diagram increases, and therefore, filling and analyzing the matrixes might become time consuming and difficult.

The proposed integrated model can be effective for almost all organizations that aim to meet the dynamic needs of markets and customers and intend to incorporate innovation in their products and services. By the new approach, determination and prioritization of innovation factors can be done based on customers' viewpoint, while in the traditional approaches this was done only from the viewpoint of engineers and designers.

Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

The purpose of this paper is to develop a comprehensive continuous innovation capability (CIC) measurement model in manufacturing sectors.

The development of this CIC model was conducted through three stages of research, i.e. identification of manufacturing continuous innovation measures (MCIMs), development of measurement model, followed by model evaluation and validation. MCIMs were identified using systematic literature review and focus group discussion. Selection process for MCIMs employed the fuzzy Delphi method. To develop measurement model, contextual relationships between MCIMs were assessed using total interpretive structural modeling, followed by measurements of MCIMs weight with the analytical network process method. Then, assessment indicators for each MCIM and criteria were determined as well as mathematical model to measure CIC scores. Model evaluation and validation were performed in two case studies: in an automotive company and an electronics company.

This research produced 50 criteria and 103 assessment indicators, as well as mathematical model to measure CIC scores. The validation process showed that currently developed model was deemed valid.

The results of this research are expected to provide a practical input for manufacturing company managers in managing their innovation activities systematically and comprehensively.

The CIC model is a new comprehensive measurement model; it integrates three fundamental elements of CI capability measurement, considering all important dimensions in a company and also able to explain contextual relationships between measured factors.

This study seeks to provide a broad ranging review that identifies, summarises and integrates the different multi-level approaches contributing to advances in research on measuring IC. This furthermore sets out and highlights an agenda for future research.

Deploying a systematic and thorough review of the literature, the authors were able to identify 60 articles and identify the main theories applied and the respective methodological orientations of these articles across three levels of analysis: micro, meso and macro.

The study's findings suggest that the literature on measuring IC has approached the theme across three different levels –micro, meso and macro. In addition, the results enable the identification of seven dimensions to IC: competitive advantage, economic value generated, resources and capacities, corporate governance, IC components, innovation management and the dissemination of IC.

The mixed-methods approach, which combines a traditional systematic literature review with ontological thematic analysis, casts light on the core aspects that led to the identification of a new approach in the academic literature on measuring IC.

This study puts forward a holistic model with measurements for IC across the three levels of analysis as well as the respective criteria for choosing the variables.

This study represents a first attempt to analyse the emerging literature on IC measurement through a multi-level approach; integrating and extracting the potential theoretical contributions in this field of knowledge; proposing an integrated model as well as a theoretically relevant and innovative research agenda that opens up paths to future research projects.

The importance of co-innovation platforms has been well established, but a valid and reliable instrument to measure the affordances of these platforms for co-innovation behavior has not yet been reported in the literature. A robust, validated instrument to measure co-innovation platform affordances (PAs) will facilitate the conduct of studies across different platforms and contribute to enhanced understanding of co-innovation behaviors, outcomes, and platform design. The purpose of this paper is to conceptualize co-innovation PAs, develop a reliable measurement instrument capturing critical facets of co-innovation, namely ideation, collaboration, and communication, and validate the instrument.

The construct of PAs was conceptualized based on the findings from two case studies of co-innovation networks and the key characteristics of social mediating technology affordances. The measurement items newly developed via a case study underwent a two-round exploratory analysis to ensure face validity and content validity. The resulting instrument was subjected to a pilot study and a field study to establish the necessary reliability and validity.

The findings of the study reveal that co-innovation PAs have three distinctive components, namely ideation, collaboration, and communication. Furthermore, the results of the study suggest that PAs are most appropriately operationalized as a second-order construct comprising all three components. The empirical results from the field study show a high degree of confidence in both translation validity and criterion-related validity.

Drawing from co-innovation and affordances literature, this study develops and validates a general instrument to measure co-innovation PAs. The result is a reliable and parsimonious instrument with 12 items. The authors believe that the instrument can contribute significantly to future empirical investigations of co-innovation behavior on virtual platforms.

The purpose of this paper is to propose and validate a measurement scale to capture organizational learning capabilities (OLC) and examine how OLC affects innovation. There are several models in the literature that have been generated by statistical data from manufacturing firms. This paper presents a structural equation model in order to measure OLC in Iranian ceramic tile manufacturers. The proposed model has five dimensions – i.e. managerial commitment and empowerment, experimentation, risk taking, interaction with the external environment and openness and knowledge transfer and integration – and is evaluated by 23 items.

Data were collected from 18 Iranian ceramic tile manufacturers. The survey was sent to employees of the business section of each factory and a total of 173 valid questionnaires were obtained and used to test the research model, employing confirmatory factor analysis (CFA), a particular analysis of structural equation modeling methods.

In the validation process, both the principal components and the confirmatory factor analyses clearly corroborate the existence of the five dimensions mentioned in the theoretical work. Likewise, the scale provides information that could be used by those managers wishing to improve learning capability in their firms. In addition, the results show that the OLC has a positive impact on innovation.

This research suggests that that organizational environments that facilitate learning are more innovative. In addition, the OLC literature shows that OLC has a significant impact on the effectiveness and performance of the organization. Therefore, it is essential to find a valid measurement that can evaluate OLC in an organization. The five‐factor model introduced in this paper is a practical way to measure OLC. As a result, managers can determine which organizational learning issues are strong and which are weak; this is a hint for improvement.

This study examines the relationship between the innovation ecosystem and performance measurement models. Although the innovation ecosystem and measurement models are widely recognized, the existing literature lacks a comprehensive understanding of the relationship between the proposed themes. Furthermore, it does not reveal how studies can be grouped to propose a thematic typology of the relationship.

The authors present a systematic literature review conducted in the Web of Science and Scopus databases, from a textual corpus that aided the proposition of the typology that aims to provide answers regarding the addressed themes.

The results of this review are based on a total of sixty peer-reviewed articles from the innovation ecosystem literature and performance measurement models between 1995 and 2020. The results make several contributions to the literature. First, by integrating evidence from empirical studies, the authors identified a typology formed by three classes: (1) ecosystem agents (2) analytical focus and (3) structured measurement tools. Second, the authors verified the relationship between the themes and discovered the existence of gaps to be filled, with the proposition of three drivers. Third, the authors presented a comprehensive mapping of field studies with a descriptive analysis of the textual corpus.

The results of the research provide important implications for researchers, managers and policy makers. Furthermore, the authors suggest directions for future research, including the need to examine the performance of the entire innovation ecosystem, integrating the different agents that exist for performance measurement.

The creation of partnerships among companies, governments and universities can improve innovation and the technological development of institutions. As innovation is a multidimensional concept, more nuanced research is needed to identify, which dimensions of innovation firms should focus on them. This paper aims to investigate the influence of attitude to knowledge sharing (KS) factors, learning organization and creativity on the innovation in marketing biotechnology firms. So, the purpose of this paper is to examine the influence of learning organization, attitude to KS, creativity, information technology (IT) acceptance, KS culture and trust on the innovation by presenting a new framework and a model.

The structural equation modeling technique is used to examine the reliability and validity of the measurement of the provided model. Data were collected by questionnaires. A case study was carried out in 100 marketing biotechnology firms in the Tehran of Iran. In this paper, smart partial least squares 2.0 was used to evaluate the measurement.

The result showed that all hypotheses of this research are proved. Also, the results have shown that the attitude to KS, learning organization and creativity affect the innovation in marketing biotechnology firms. As an overall result, the managers should create an enhanced knowledge bank to increase and encourage the KS among employees, thus creating and enhancing innovation in organizations. Also, the results have shown that marketing shortages were mostly connected to access to human resources with related management and marketing experiences and were mainly felt by firms introducing discontinuous novelties.

The main limitation of this paper is that the sample was retrieved from 384 employees in 100 marketing biotechnology institutions. The larger number of samples can yield better results. Next, even though the respondents’ profiles indicated a high probability of them being cognizant of their organization’s efforts in inter-firm KS, learning, creativity and innovation with three or four respondent from each organization answering all questions for such complicated issues always poses the risk of measurement bias and inaccuracy. An ideal situation for future studies would be to pool and compare multiple respondents from the same organization to obtain a more comprehensive firm-level measurement. In addition, this study only surveyed and sampled biotech marketing companies in Iran. Therefore, the model should be examined using samples from other countries because the varieties of culture could have an impact on employee apprehensions. So, future researchers can test the measurement instrument in different countries and/or conduct large multi-national comparisons.

Successful marketing strategies depend very much on an organization’s ability to implement them. This paper provides an excellent study about the future of pharmaceutical KS and shows that innovation paths are linked with local and temporary occasions. Also, the results of this study provide valuable information in formulating marketing biotechnology programs. It is essential to study both economics and innovation for students and academics. The results also suggested that policies to increase economic research will also increase innovation. They could contain the consolidation of the legal framework and institutional resources for public organizations to protect intellectual properties. In general, for successful implementation of strategies an organization has to integrate KS, processes and IT.

The paper identifies the most critical factors in the innovation process of enterprizes in marketing biotechnology institutions. The implications derived from this study can shed new light upon policy-making both at the level of governance and in the management practice in Iran’s marketing biotechnology industry. Also, the paper increases understanding of the innovation process in Iran marketing biotechnology companies. This study contributes to innovating management research by offering a set of legal and dependable operational measures. These measures can help academics in theory analysis.

This is the first attempt examining the role of the learning organization, creativity and attitude to KS as a key contingency factor in innovation in Iran marketing biotechnology firms, an issue whose understanding is still developing in the literature. The paper adds to the body of knowledge by allowing better understanding the attitude toward KS and the influence of KS, learning and creativity on innovation. Previous studies did not investigate the KS in marketing biotechnology firms deeply, but, the present paper permits a more complete view on this topic. The guidelines are provided for the top directors to promote KS and innovation according to the research results. From a managerial point of view some critical elements, which are important for the success of KS and application of these elements for progressing institutional guidelines to develop KS, are considered. Theoretical foundations can be extracted from this study, and these foundations can be implemented to investigate connection in KS elements such as feasibilities processes and institution initiative abilities. So, the results could be suitable to managers when arranging an organization and shaping its culture to improve knowledge management.