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1 – 10 of 111Variation, replication and selection processes are acknowledged as key constructs in studies on how industries evolve, but no theoretical and empirical contributions have applied…
Abstract
Purpose
Variation, replication and selection processes are acknowledged as key constructs in studies on how industries evolve, but no theoretical and empirical contributions have applied these key constructs to analyzing industries in specific stages of their history. This paper aims to fill this gap, taking for reference the firm and its strategic action in particular.
Design/methodology/approach
After delineating and discussing the three processes of interest – variation, replication and selection – this paper analyzes three very different evolutionary contexts: “red” industries, that reached maturity maintaining a polypolistic structure, and that continue to evolve in this phase; the oligopolistic transformation undergone by certain industries; and the emergence of new market spaces around new products developed by firms.
Findings
Variations are mainly reactions to the competitive environment in the evolution of red industries or environment-modifying in the case of industries evolving toward an oligopoly, and in the creation of new market spaces. Horizontal replication through employee mobility prevails in red industries, while in the other two contexts firms driving the evolution raise barriers to replication, inhibiting both horizontal and vertical replication. While selection does not come about in a new market space as long as the barriers erected by the first comer remain in place, it occurs in the form of subset selection in the other two settings.
Originality/value
This paper takes an entirely novel approach and proposes a pluralist framing of how industries evolve, interpreting the different evolutionary situations on the strength of the key variables of variation, replication and selection.
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Chiara Valentini and Krishnamurthy Sriramesh
Personal influence is one of the most powerful strategies to influence publics’ behaviours. Yet, there is scant attention on how personal influence is leveraged for different…
Abstract
Purpose
Personal influence is one of the most powerful strategies to influence publics’ behaviours. Yet, there is scant attention on how personal influence is leveraged for different public relations purposes in different cultural contexts. This study empirically investigates the presence and use of personal influence among Italian public relations professionals.
Design/methodology/approach
A survey was conducted through a self-administrated, web-based questionnaire and was developed from earlier studies investigating personal influence in public relations literature. Survey participants included public relations professionals across public, non-profit and private sectors.
Findings
The findings empirically show the presence and regular use of personal influence by professionals from all sectors to cultivate interpersonal relationships. Personal influence is considered a personal resource and used to leverage own influencing power. The findings also document four major manifestations of personal influence, which were named: relational closeness strategy, engagement strategy, expertise strategy and added value strategy.
Practical implications
This study enhances our understanding of personal influence in a specific cultural context and offers strategic insights for international professionals seeking to leverage influence in the socio-political environment of Italy. It also offers elements to improve public relations education and training.
Originality/value
The study offers some preliminary understandings of how Italian professionals leverage their personal influence in their daily public relations activities contributing with empirical evidence to the body of knowledge in public relations.
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Desirée H. van Dun and Maneesh Kumar
Many manufacturers are exploring adopting smart technologies in their operations, also referred to as the shift towards “Industry 4.0”. Employees' contribution to high-tech…
Abstract
Purpose
Many manufacturers are exploring adopting smart technologies in their operations, also referred to as the shift towards “Industry 4.0”. Employees' contribution to high-tech initiatives is key to successful Industry 4.0 technology adoption, but few studies have examined the determinants of employee acceptance. This study, therefore, aims to explore how managers affect employees' acceptance of Industry 4.0 technology, and, in turn, Industry 4.0 technology adoption.
Design/methodology/approach
Rooted in the unified theory of acceptance and use of technology model and social exchange theory, this inductive research follows an in-depth comparative case study approach. The two studied Dutch manufacturing firms engaged in the adoption of Industry 4.0 technologies in their primary processes, including cyber-physical systems and augmented reality. A mix of qualitative methods was used, consisting of field visits and 14 semi-structured interviews with managers and frontline employees engaged in Industry 4.0 technology adoption.
Findings
The cross-case comparison introduces the manager's need to adopt a transformational leadership style for employees to accept Industry 4.0 technology adoption as an organisational-level factor that extends existing Industry 4.0 technology user acceptance theorising. Secondly, manager's and employee's recognition and serving of their own and others' emotions through emotional intelligence are proposed as an additional individual-level factor impacting employees' acceptance and use of Industry 4.0 technologies.
Originality/value
Synthesising these insights with those from the domain of Organisational Behaviour, propositions were derived from theorising the social aspects of effective Industry 4.0 technology adoption.
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Honghao Tang, Mingyue Lin, Jing Yu and Qi Yue
The focus of this paper is to further improve the implementation safeguard measures of the National Plan for Main Functional Zones of Ocean (NPMFZO) based on the implementation…
Abstract
Purpose
The focus of this paper is to further improve the implementation safeguard measures of the National Plan for Main Functional Zones of Ocean (NPMFZO) based on the implementation status of the national marine main functional area plan after the promulgation of the existing marine planning implementation safeguard measures, aiming at the problems existing in the implementation of the plan, to help the implementation of the plan more effective.
Design/methodology/approach
This paper reviews the historical process of the preparation and implementation of NPMFZO, analyzes the problems existing in the implementation of this plan, and puts forward some measures and suggestions under the background of the new national territory planning system.
Findings
In the new period, the authors should focus on building the evaluation system of planning implementation, strengthening the coordination with other plans, improving the supporting policies of planning and ensuring the effective implementation of the main functional zoning of oceans under the territorial spatial planning system.
Originality/value
This paper reviews some problems existing in the implementation of the NPMFZO and puts forward policy suggestions to ensure the implementation of the plan in the new period.
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Yin Kedong, Zhe Liu, Caixia Zhang, Shan Huang, Junchao Li, Lingyun Lv, Xiaqing Su and Runchuan Zhang
In recent years, China's marine industry has maintained rapid growth in general, and marine-related economic activities have continued to improve. The purpose of this research is…
Abstract
Purpose
In recent years, China's marine industry has maintained rapid growth in general, and marine-related economic activities have continued to improve. The purpose of this research is to analyze the basic situation of China's marine economy development, identify the problems therein, forecast development trends and propose policy recommendations accordingly.
Design/methodology/approach
This research conducts a comprehensive and detailed analysis of the development of China's marine economy with rich data in diversified aspects. The current situation of China's marine economy development is analyzed from the perspective of scale and structure, and the external and internal development environment of China's marine economy is discussed. With the application of measurement and prediction method such as trend extrapolation, exponential smoothing, grey forecasting and neural network method, the future situation of China's marine economy development is forecasted.
Findings
In a complex environment where uncertainties at home and abroad have increased significantly, China's marine economy development suffers tremendous downward pressure in recent years. As China has achieved major achievements in the prevention and control of the COVID-19 epidemic, the marine economy development will gradually return to normal. It is estimated that the gross marine production value in 2022 will exceed 10 trillion yuan. China's marine economy will continue to maintain a steady growth trend in the future, and its development prospects will remain promising.
Originality/value
This research explores the current situation and trends of China's marine economy development and puts forward policy recommendations to promote the steady and health development of China's marine economy accordingly.
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This study investigates whether higher catch rates near a marine protected area (MPA), and/or in other fishing areas within a choice set, attract more fishers. A survey conducted…
Abstract
Purpose
This study investigates whether higher catch rates near a marine protected area (MPA), and/or in other fishing areas within a choice set, attract more fishers. A survey conducted in the fishing grounds near an MPA located in south east of Mauritius in the Indian Ocean shows concentration of fishers in regions with lower catch rates. This contrasts with the predictions of the “fishing the line” hypothesis and the ideal free distribution (IFD) that fishers are likely to be attracted near the MPA with higher resource abundance.
Design/methodology/approach
Using the random utility model as the framework and the random parameter logit (RPL) model, the study attempts to explain spatial behaviour of fishers. Expected catch and catch variability are modelled using the Just and Pope (JP) production function. The study also estimates effort elasticities with respect to expected catch and catch variability and simulates the relocation of effort from area closure.
Findings
The paper concludes that higher catch does attract fishers but is a partial and very restrictive explanation of fishers' behaviour. The “fishing the line” hypothesis does hold to some extent, but it should not be taken for granted that rising catch rates in adjacent waters will increase fishing pressure. The paper concludes that factors such as catch variability, distance from homeport to fishing ground, potential physical risk and attitudes towards risk of fishers affect spatial behaviour of fishers and should be considered for the placement and size of MPAs. The study also finds that the responsiveness of effort to catch rates is lowest in areas which are already heavily fished and easily accessible.
Practical implications
The identification of fishing areas as complements (when fishing in one area increases fishing effort in another) and substitutes is valuable information for determining the placement and size of an MPA. A larger reserve is likely to have more displacement effect in this case than a smaller one. Therefore, a small or a network of a small reserve may be appropriate. The premise to select the site and size of the reserve is to avoid overconcentration of fishers in alternative fishing areas, which can be vulnerable to excessive fishing and unintended effects from fishers.
Originality/value
The paper contributes to an understanding of fishing behaviour and its impact on the configuration of marine reserves. It discusses the importance of effort elasticities to determine the placement and size of an MPA. Studies on this topic are very scanty in the Indian Ocean region. It also shows the application of location choice model, the RPL model and the JP production function in the fisheries sector for a small island.
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Dat Nguyen, Anh Le Hoang, Minh Anh Nguyen Vu, Viet Thanh Nguyen and Tram Anh Pham
Shipping is a major source of air pollution, causing severe impacts on the environment and human health, greatly contributing to the creation of greenhouse gases and influencing…
Abstract
Purpose
Shipping is a major source of air pollution, causing severe impacts on the environment and human health, greatly contributing to the creation of greenhouse gases and influencing climate change. The research was investigated to provide a better insight into the emission inventories in the Red River in Hanoi (Vietnam) that is often heavily occupied as the primary route for inner-city waterway traffic.
Design/methodology/approach
The total emissions of seven different pollutants (PM10, PM2.5, SOx, CO, CO2, NOx and HC) were estimated using the SPD-GIZ emission calculation model.
Findings
The results show that CO2 has the most significant contribution to the gas volume emitted: 103.21 tons/day. Remarkably, bulk carriers are the largest emission vehicle, accounting for more than 97% of total emissions, due to their superior number and large capacity.
Social implications
The result to have a roadmap for making efforts to fulfil its commitment so that it could achieve its net-zero climate target by 2050 in Vietnam as committed at COP26.
Originality/value
In this research, the number of vehicles and types of vessels travelling on the Red River flowing within Hanoi territory and other activity data are reported. The tally data will be used to estimate emissions of seven different pollutants (PM10, PM2.5, SOx, CO, CO2, NOx and HC) using a method combining both top-down and bottom-up approaches.
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Patricia McHugh, Cushla Dromgool-Regan, Christine T. Domegan and Noirin Burke
This paper aims to describe a case between practitioners and social marketing academics to grow and scale a programme that engages with primary schools, teachers, children and the…
Abstract
Purpose
This paper aims to describe a case between practitioners and social marketing academics to grow and scale a programme that engages with primary schools, teachers, children and the education network, inspiring students to become marine leaders and ocean champions.
Design/methodology/approach
Over a six-year period, the authors first applied collective intelligence to work with stakeholders across society to better understand the barriers and solutions to teaching children (6–12 year olds) about the ocean in schools. Following this, a Collective Impact Assessment of the Explorers Education Programme took place to grow the impact of the programme.
Findings
The Explorers Education Programme has grown its numbers higher than pre-pandemic levels. In 2022, the Explorers Education Programme had the largest number of participating children, reaching 15,237, with a growth of 21% compared to pre-pandemic levels in 2019 and 79% compared to 2021. In 2023, the programme won the “Best Education Outreach Award” category of the Education Awards in Ireland.
Research limitations/implications
This research stresses the importance of measuring impact. The long-term impact of the Explorers Education Programme at societal, environmental and economical levels takes a much longer time frame to measure than the six years of these research collaborations.
Practical implications
The collaborative approach between academics and practitioners meant that this research had practical implications, whereby necessary and effective changes and learnings could be directly applied to the Explorers Education Programme in real time, as the practitioners involved were directly responsible for the management and coordination of the programme.
Originality/value
The value of collaborations and engagement between academia and practice cannot be underestimated. The ability to collectively reflect and assess impact moves beyond “an” intervention, allowing for more meaningful behavioural, social and system changes for the collective good, inspiring the next generation of marine leaders and ocean champions.
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Thi Kieu Van Tran, Ehsan Elahi, Liqin Zhang, Habibullah Magsi, Quang Trung Pham and Tuan Minh Hoang
The purpose of this paper is to estimate a recent trend in climate change and its impact on livelihood of community living in Nam Dinh province, Vietnam. Further, it aims to…
Abstract
Purpose
The purpose of this paper is to estimate a recent trend in climate change and its impact on livelihood of community living in Nam Dinh province, Vietnam. Further, it aims to increase the government attention for adaptation measures by providing awareness of climate change and its negative impacts on livelihood.
Design/methodology/approach
For study purpose, cross-sectional and secondary data sets were used. The community perceptions about climate change were recorded by face-to-face interviews of 500 respondents from Nam Dinh province, Vietnam in April 2015 by using a well-structured questionnaire, whereas secondary data were collected from the statistical yearbook of General Statistics Office of Vietnam. To accomplish the study objectives, Cobb–Douglas production function and Likert scale were used to estimate the community perceptions of climate change and impact of climate change on livelihood, respectively.
Findings
Results depict that climate change negatively impacted on the productivity of rice and livestock. Particularly, frequently occurring of droughts, floods and salinity intrusion negatively impacted on rice productivity, while livestock productivity is decreased by frequent occurring of flood storms in study area.
Originality/value
The study results suggest a government support is essential to achieve sustainable livelihoods for coastal communities living in the Red River Delta, particularly some adaptation measures in the context of climate change are required in study area.
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Li Xuemei, Yun Cao, Junjie Wang, Yaoguo Dang and Yin Kedong
Research on grey systems is becoming more sophisticated, and grey relational and prediction analyses are receiving close review worldwide. Particularly, the application of grey…
Abstract
Purpose
Research on grey systems is becoming more sophisticated, and grey relational and prediction analyses are receiving close review worldwide. Particularly, the application of grey systems in marine economics is gaining importance. The purpose of this paper is to summarize and review literature on grey models, providing new directions in their application in the marine economy.
Design/methodology/approach
This paper organized seminal studies on grey systems published by Chinese core journal database – CNKI, Web of Science and Elsevier from 1982 to 2018. After searching the aforementioned database for the said duration, the authors used the CiteSpace visualization tools to analyze them.
Findings
The authors sorted the studies according to their countries/regions, institutions, keywords and categories using the CiteSpace tool; analyzed current research characteristics on grey models; and discussed their possible applications in marine businesses, economy, scientific research and education, marine environment and disasters. Finally, the authors pointed out the development trend of grey models.
Originality/value
Although researches are combining grey theory with fractals, neural networks, fuzzy theory and other methods, the applications, in terms of scope, have still not met the demand. With the increasingly in-depth research in marine economics and management, international marine economic research has entered a new period of development. Grey theory will certainly attract scholars’ attention, and its role in marine economy and management will gain considerable significance.
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