Search results

Radical innovations are considered as a main source of competitive advantage for both small and medium enterprises and small economies such as Croatia. Although from a theoretical point of view a clear distinction between incremental and radical innovations exists there is much less investigation into differences in organizational culture that foster these types of innovations. The aim of this paper is to investigate the radical innovation culture in the Croatian manufacturing industry.

Key prerequisites for creating radical innovation culture are selected and then analyzed by using multiple regression analysis. Elements of radical innovation culture analyzed were: autonomy, cannibalization, pro activeness and risk taking.

When it comes to generating radical product innovations or creating appropriate culture the current state in Croatian manufacturing industry is far from satisfactory. Some recommendations for improving the current state with suggestions for further research are discusses in the final part of the paper.

Originality of the paper comes mainly from three key aspects. First of all the paper identifies key components of radical innovation culture specific to manufacturing industry. Second, in this process special attention is given to specifics of a small country like Croatia. Third, the paper offers clear guidance to management on ways of stimulating radical innovation culture.

This paper aims to explore buying decision factors and approaches of companies operating in manufacturing industry in Croatia.

The data collected by company survey were analysed using exploratory and confirmatory factor analyses, cluster analysis and cross-tabulation analysis.

Results show that manufacturers are influenced by six distinctive factors when making purchasing decisions. These are supplier’s flexibility, supplier’s reliability, interdepartmental communication, top management support, routine purchases and buyer’s price sensitivity. Manufacturers can be classified in four different groups according to their buying decision-making patterns.

This paper provides a set of factors and approaches which might help selling companies and sales representatives understand the purchasing practices of buying company better, and develop adaptive selling approaches accordingly.

Based on a literature review and field research, an instrument of organizational buying behaviour was developed and tested in the Croatian manufacturing industry. The factors of organizational buying behaviour patterns were identified, and the typology of buying decision approaches applicable for manufacturing industry was developed.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds his own impartial comments and places the articles in context.

Croatian manufacturing industry is strong on ideas but less impressive when it comes to actually generating radical product innovation. The authors make recommendations for improving the current state of affairs.

The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Firms innovate and sophisticate their offerings to remain competitive. This sophistication often finds opportunities in servitization. Given that many customers expect the service offering from manufacturing companies, it is crucial to research what capabilities drive service offerings and their impact on performance. The purpose of this paper is to test the capabilities–service–performance chain.

A conceptual model is proposed and the research hypothesis is tested using structural equation modelling (SEM) performed on a data set corresponding to 205 Spanish and Croatian manufacturing firms.

Using SEM, this research analyses the causal model between manufacturing, organizational and digital capabilities on base, intermediate and advanced services, and their impact on both service and financial performance.

This study has some limitations: the advanced service construct was mostly developed on case-based research. Some constructs have low convergent validity and reliability. The relative smallness of the data set used and its two-country provenance could raise issues about the international nature and generalizability of the findings.

Digital capabilities are important for the provision of all three groups of services in terms of using digital devices in data acquisition, helping to make the manufacturing company more agile.

The present study also contributes to the conceptual framework of servitization by providing a new and more up-to-date definition of capabilities and services, also considering digital capabilities, which are less explored. It also contributes to being the first to explore the entire manufacturing sector [nomenclature statistique des activités and économiques dans la Communauté éuropéenne (NACE) 10–31].

There is abundant evidence that innovative work practices (IWPs) of various kinds, such as teams, quality control circles, no-layoff policies, job rotation, and employee ownership, have spread rapidly in developed market economies during the past thirty years or so. Between 1983 and 1993, Freeman, Kleiner, and Cheri (2000) report survey evidence that the number of nonmonetary incentive programs offered by firms increased by 500% in the United States. Similar trends appear to be at work in other countries including the United Kingdom, Japan (e.g., Kato, 2000), Denmark (e.g., Datta Gupta, & Eriksson, 2004), and Finland (e.g., Kalmi & Kauhanen, 2008). Whereas the corresponding evidence for transition economies is much slimmer, the available evidence is also suggestive that such practices are limited though spreading.¹ Unsurprisingly, both theoretical and an empirical literature have appeared to examine the impact of IWPs on both business performance and employee outcomes. As different scholars from diverse fields in the broad area of industrial relations have applied varying approaches to explore several research questions, those literatures have grown rapidly. At the same time, while it is clear that analytical work of the kind is becoming commonplace for advanced economies, work that focuses on developing and transition economies is very slim. As it is important to determine whether findings for firms in advanced market economies carry over to other economies, the first contribution of this chapter is to extend the geographical coverage of the empirical literature. This we do by assembling and analyzing new survey data set for a large Croatian manufacturing firm with our chapter perhaps representing one of the first such investigations for a former communist economy.

Given the challenges that Industry 4.0 poses, the purpose of this paper is to propose a comprehensive assessment model suitable for evaluating small- and medium-size enterprises’ (SMEs) digital readiness levels, discuss the results of an assessment of 20 manufacturing SMEs using the proposed model and highlight priorities needed to undertake a successful journey towards Industry 4.0.

The research adopts an empirical approach using multiple case studies. Starting with a literature review about maturity and readiness-assessment models for Industry 4.0, the study’s model has been built and validated through two pilot case studies, with the final model used in an extensive case studies research with 20 enterprises.

The SMEs used in this research present an intermediate readiness level with respect to Industry 4.0. They are aware of the phenomenon, but management is still taking the first steps towards identifying the most appropriate strategy to approach this Fourth Industrial Revolution. Companies need to exploit all opportunities that data availability provides in terms of knowledge creation and decision-making support, in all forms, through investments in people skills and expertise and through an infrastructure that can support data gathering, analysis and sharing.

The Italian industrial landscape comprises mainly SMEs, mostly needing support to understand their path towards Industry 4.0. Therefore, the proposed model specifically focuses on SMEs, given its modularity, ease of understanding and fit to SMEs’ organisational structure. Furthermore, insights from 20 Italian SMEs are examined, and a list of priorities is highlighted.

This volume of Advances in the Economic Analysis of Participatory and Labor-Managed Firms comprises nine original research chapters and a short comment.¹ The chapters cover a broad range of topics: from share ownership plan membership to determinants and performance outcomes of adoption of high performance work and pay practices, to changes in traditional participatory organizations. Geographically, the chapters span over a relatively wide range: from Northern Europe, a southeast European transition economy, Israel, Korea, Japan to an international corporation with operations in at least four continents.

The purpose of this study is to examine determinants of profitability of non-financial firms listed small- and medium-sized enterprises (SMEs) in the UK from 2012 till 2020. It has been argued that profitability plays a key role in economic development and growth. Despite the important role that SMEs play in developed economies like UK, academic research into SMEs profitability determinants in developed countries is not extensive.

The methodologies used include dynamic panel data estimation techniques. Relationship of nine independent variables with profitability was examined. Two models are created using return on assets (ROA) and return on equity (ROE) as dependent variables. Size, age, efficiency, working capital, liquidity, leverage and volatility of the firm represent firm-specific independent variables. Two macroeconomic variables, namely, gross domestic product and inflation are also used as independent variables. Data obtained from Thomson Reuters Data Stream for 93 listed SMEs companies in the UK from 2012 to 2020. Fixed effects, random effects and generalized method of moments were used in data analysis.

All variables showed significant influence on profitability, except liquidity reflecting insignificant impact on profitability in two regression models conducted for 93 firms under study. Efficiency, liquidity and leverage are the only three independent variables with similar impact on both ROA and ROE.

Identifying determinants of profitability will help stakeholders and corporate executive make sound decisions to ensure sustainability and stability at the firm level. This is particularly important given the key role played by SMEs in economic development and growth. The findings of this study would help direct financial management practices to ensure a favorable sustainable organizational performance.

This study differs from previous studies that focused mainly on developing countries; with limited research conducted on profitability of SMEs in developed economies. To the best of the author’s knowledge, this is the first study to examine factors influencing profitability of SMEs in UK. Previous studies concentrated on service sector like insurance and hotel firms.

This paper proposes an SME oriented Industry 4.0 maturity framework to explore the interplay between manufacturing processes, performance measurement system and management practices (PMM). Given that the fourth industrial revolution, famously referred to as Industry 4.0, is a new paradigm for manufacturing firms, it is crucial to know the ‘as-is’ state or maturity of SMEs' manufacturing processes and link it with their PMM. Despite the availability of numerous maturity models, no previous study has tried to link the maturity of manufacturing processes with performance measurement and management.

Due to the exploratory nature of the study and the lack of theoretical base for Industry 4.0 maturity and PMM interaction, especially in the SME context, a multiple case study approach has been adopted due to its robustness and effectiveness under such circumstances.

There is a strong interplay between the maturity of manufacturing processes and PMM. The firms that have invested in their manufacturing processes have also developed performance measurements. Overall, performance measurement is more developed than performance management practices.

The characteristics of the interplay between the maturity of manufacturing processes and PMM are summarized in three main propositions. Moreover, the study provides practitioners with an assessment framework to help SMEs evaluate the current state of their manufacturing processes and PMM to highlight the areas of improvement towards the I4.0 expedition.

This research aims to analyze the literature on Quality 4.0 and pinpoint the essential factors contributing to its success. Additionally, the research aims to develop a framework that can be used to create a capable workforce necessary for the successful implementation of Quality 4.0.

By following a systematic approach, the authors could ensure that their literature review was comprehensive and unbiased. Using a set of pre-determined inclusion and exclusion criteria, the authors screened 90 research articles to obtain the most relevant and reliable information for their study.

The authors' review identified essential findings, including the evolution of literature in the field of Quality 4.0 and the systematization of previous literature reviews focusing on training and development. The authors also identified several training barriers to implementing Quality 4.0 and proposed a model for building a competent workforce using Kolb's experiential learning model.

The authors' research offers insights into the training barriers that must be considered when building a competent workforce. Using the framework proposed in the authors' research, consultants and managers can better integrate Quality 4.0 into their organizations.

The adoption of Quality 4.0 has significant social implications and is essential for advancing sustainability. It can improve efficiency, reduce waste, minimize environmental impacts and better meet the needs and expectations of stakeholders.

The authors' study stands out as one of the earliest reviews of the literature on Quality 4.0 to incorporate the theory-context-method (TCM) framework, allowing to provide unique insights into future research directions that had not been previously explored.