Search results

This study aims to provide a systemic and integrated view of how Industry 4.0 and its enabling technologies affect companies' internal and external environments. It offers a comprehensive view of the contribution about ten years after the start of the Fourth Industrial Revolution.

The study performs a systematic literature review based on Industry 4.0 management literature. Analyzing the results of the 308 final papers in the sample made it possible to build a theoretical model to explain the contribution of Industry 4.0 to the internal and external environment of the company.

The results highlight the contribution of Industry 4.0 to the processes and environment of the company by providing a systemic and integrated view, highlighting the most applied enabling technologies and their internal, external, and combined usefulness in business processes.

Finally, the paper provides a broad view of the Industry 4.0 topic ten years after its origin through an extensive literature analysis that allows us to highlight the significant studies and the areas still under-researched by researchers and opens the debate on the Industry 5.0 scenario.

The model makes it possible to appreciate the role of Industry 4.0 and its enabling technologies in companies in a broad and systemic view and to understand, from a managerial point of view, the interactions, synergies, and possibilities within processes and the reflection on the external environment.

This chapter’s aim is to outline and highlight the components of strategic planning and management framework, as well as the value and utility of strategic analysis and competitor analysis.

Extensive literature review was conducted on conceptual issues and management aspects of human resources management. A practical approach has been adopted and implemented to illustrate the value of strategic analytical tools.

This chapter provides a description and an understanding of how the analyses and tools of strategic planning and management could be used to plan and implement a business venture better. It discusses the tools enhancing the analysis of the business environment in the field of tourism.

This study is explorative in nature because the discussion is mostly based on a literature review. It takes more entrepreneurial/practical than academic approach.

The analyses of the business environment and of the competition in an industry are tasks of critical importance. If these analyses are adequately performed, the probability of success may increase. This chapter discusses the purpose, the process and the implementation of tools of strategic analysis and competitor analysis. Practical recommendations and steps are also provided.

The analytical frameworks, tools and techniques discussed in this chapter should enhance prospective entrepreneurs to adequately perform their task of analysing the tourism business environment.

The paper aims to assess the strengths and weaknesses of sustainable return on investment (SuROI) to determine it suitability as a means through which social value can be predicted in line with public procurement directives and the Social Value Act, whilst at the same time as fitting the developer’s business model and CSR commitments.

Using a multi-case design, findings from a comprehensive evaluation of three major housing-led mixed-use regeneration developments are presented. The three case study locations were selected on the basis of the developer’s strong commitment to place-making and social sustainability. Together with a strong strategic desire to reposition their organisation away from the traditional business as usual profit-led model.

Whilst the social return on investment methodology is applicable to the charity sector, its use in the built environment is highly questionable. When applying the model to the mixed-use housing projects, the authors identified a number of technical limitations to the model, inter alia a lack of suitable proxies and especially proxies relating to the built environment for the valuation of identified outcomes; the use of monetisation as a evaluating measure which did not support some of the more abstract or softer benefits identified; problems collecting, identifying and evaluating data to inform the model given the complexity and scale of the project; and significant time and expense associated with the valuation and finally the inability to benchmark the report on completion. These findings have implications for the social housing providers and local authorities looking to use SuROI to evaluate potential built environment projects.

The paper offers unique insights into the viability of using existing social value measurement methodologies. The paper identifies the significant limitations associated with the SuROI methodology.

The purpose of this paper is to present a method to analyze the noise in aircraft cabins through the VHF Aeronautical Communication Channel, aimed at examining an environment that has the possibility of communication problems between the aircraft crew and the professionals responsible for the controls on land.

This analysis includes equipment normally used for identification and comparison of electromagnetic noise, the cabin and the environment that are present in an airport, as well as equipment for frequency analysis and intensity of those signals. The analysis is done in a reverse way, eliminating situations that are not common in the examined environment, until the identification of the situation with the irregularity.

According to the results, the implementation of the Fourier transform for noise analysis in the cabin was efficient. These results demonstrate that through this transformation, the noise sources can be identified in the environments in cases where there is much spectrum pollution.

This kind of noise analysis is important, considering the importance of having good accuracy in airport environment analysis.

The paper presents the main trends in the future of aviation communications, and describes the new applications that aim to minimize problems with the current VHF channel.

This study aims to reveal the constituents of seafaring service quality (physical and social environment) and their effects on seafarer employee satisfaction (job satisfaction and turnover intention) and analyse any differences among seafarer ranks. Literature on service quality has overlooked the transportation sector and seafaring in particular.

Seafaring service quality is measured by the workplace environment constituted of physical and social environments. Two types of employee (job) satisfaction were explored: overall job satisfaction and turnover intention. This study is based on a unique, large survey based on the Existence-Relatedness-Growth (ERG) needs theory. An exploratory factor analysis revealed four physical environment factors (Ship conditions, Communication facilities, Nautical health and Living conditions) and four social environment factors (Social fit, Team cohesion, Ship company support and Intercultural environment). Multi-group regression analysis assessed the effects of seafaring service quality on employee satisfaction.

The social environment has stronger effects than the physical environment on job satisfaction but not on employee retention. Team cohesion has strong effects on employee retention, while social fit has stronger effects on overall job performance. Seafarer ranks showed significant variations. The physical environment matters for 2nd engineers' and cadets’ job satisfaction but not for ratings, masters and chief officers. Team cohesion is significant to master, chief officer, engineer and cadet ranks but not for junior officers and ratings. Social fit has stronger effects on overall job performance than employee retention, particularly for ratings, cadets, master, chief officer and chief engineer ranks. Ship company support has the stronger effect on overall job satisfaction among all workplace factors; this is also observed across all ranks.

Motivation theories like the ERG theory can help understand service quality and employee satisfaction in the maritime sector; future studies should examine more behaviour variables/constructs from these theories.

Maritime companies can offer better services to seafarers, who are considered as key workers, by customising their interventions to specific seafarer ranks and developing a supportive culture that improves seafarer well-being.

This study examined the overlooked topic of maritime service quality based on a large-scale survey grounded on ERG theory and reveals how the physical and social environment has different effects on seafarer job satisfaction and retention.

With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The purpose of this paper is to develop a nuanced framework for evaluating a channel partner’s performance in distribution channel relationships. Given a channel partner’s task environment characteristics (high/low munificence, dynamism and complexity), the study examines which performance metrics (output, activity or capability) are most relevant for evaluating its performance levels effectively.

The study adopts self-administered cross-sectional survey-based research design. Matched data were collected from 252 channel partners – manager relationship dyads. The latent change score (LCS) model within SEM framework provides mean paired-differences of the relevance ratings for each metrics. This was used to assess the empirical validity of the hypothesized relationships.

The study demonstrates the importance of calibrating performance evaluation metrics to a channel partner’s task environment state, made possible by its holistic approach to performance evaluation. Based on an extensive analysis, it shows that no single metric is relevant within all environmental states; rather, it could be dysfunctional, a result that differs from vast majority of the literature.

Investigates individual linkages between task environment dimensions and performance metrics to provide a fuller understanding of these relationships. Also provides a theoretical framework to support further research on the topic.

The study provides managerial guidelines (and extensive graphical analysis) for nuanced and dynamic evaluation of channel partners’ performance that can enable firms to identify and promote their most valuable channel partners and prevent the deterioration of others.

First one to develop and empirically validate a nuanced framework for evaluating performance of exchange partners that operate under diverse task environment states.

This paper aims to market analysis on the base many factors. Market analysis must be done correctly to increase the efficiency of smart grid technologies. On the other hand, it is not very possible for the company to make improvements for too many factors. The main reason for this is that businesses have constraints both financially and in terms of manpower. Therefore, a priority analysis is needed in which the most important factors affecting the effectiveness of the market analysis will be determined.

In this context, a new fuzzy decision-making model is generated. In this hybrid model, there are mainly two different parts. First, the indicators are weighted with quantum spherical fuzzy multi SWARA (M-SWARA) methodology. On the other side, smart grid technology investment projects are examined by quantum spherical fuzzy ELECTRE. Additionally, facial expressions of the experts are also considered in this process.

The main contribution of the study is that a new methodology with the name of M-SWARA is generated by making improvements to the classical SWARA. The findings indicate that data-driven decisions play the most critical role in the effectiveness of market environment analysis for smart technology investments. To achieve success in this process, large-scale data sets need to be collected and analyzed. In this context, if the technology is strong, this process can be sustained quickly and effectively.

It is also identified that personalized energy schedule with smart meters is the most essential smart grid technology investment alternative. Smart meters provide data on energy consumption in real time.

The purpose of this paper is to study the adoption and diffusion of technology including SAAS software and cloud computing for facilitating knowledge management (KM) in product innovation based on understanding of consumer behavior. Technopreneurship can drive sustainable product innovation by studying the patterns of consumer behavior. Sharing of consumer intelligence on cloud using SAAS is being used by several companies to drive innovation such as call centers in South Asia. However, there is no understanding role of knowledge management for understanding consumer behavior for product innovation.

The methodology uses case method of action research technique coupled with grounded theory development. Further, the study uses interpretive structural modelling (ISM) technique for interpreting the results for understanding consumer behavior patterns for enabling product innovation.

The findings suggest that enhancement of creative design based on consumer's study can lead to sustainable product development. The findings revealed that consumer behavior patterns embedded in the firm's intelligence captured in KM portal including customers' preferences and choices that can be developed into products. Knowledge management facilitated flexible manufacturing process, optimized capital expenditure using agility principles as per the study. Techniques and processes such as reactive scaling top down and bottom up and applying flexible APIs (Application Programming Interface) allowed the efficient automation of infrastructure orchestration and resource allocation. The involvement of vendors’ knowledge base facilitated creation of market ready product offers leading to sustainability.

The implications include the adoption of inter-disciplinary and inter country understanding of knowledge management application for understanding consumer behavior to lead to sustainable product development.

The scope and scale of technology entrepreneurship include the application of knowledge management for consumer behavioral studies that have huge contributions to make product development sustainable using greener planet, purpose and product (3P model).