scholarly journals Customers of place: Exploring interregional migrant collectivities

2020 ◽  
Author(s):  
Djavlonbek Kadirov ◽  
A Triveni
Keyword(s):  
Natural Resources ◽  
Decision Makers ◽  
Cluster Membership ◽  
Community Environment ◽  
City Councils ◽  
Internal Migrant ◽  
Business Opportunities ◽  
Place Satisfaction ◽  
Migrant Groups ◽  
Practical Implications

Purpose – The aim of this research is to explore how and why different migrant groups see different values in places they move to. Understanding these values and also the conditions in which these values are shaped will help in targeting marketing effort. Design/methodology/approach – The hierarchical and K/means cluster analyses were instrumental in identifying different migrant clusters. Planned contrasts were employed to compare related pairs of clusters. The logistic regression analysis identified several determinants of cluster membership likelihood. Findings – Four different internal migrant clusters are identified in the Hawke's Bay region of New Zealand. These are Material Success Seekers, Community/Environment Folks, Apathetics, and All/rounders. The former two express a fragmentalist lifestyle. Material Success Seekers emphasise regional business opportunities while being indifferent to social and natural resources. In contrast, Community/Environment Folks emphasise social and natural resources while maintaining indifference to business opportunities. In turn, the latter two clusters make up a holistic lifestyle: All/rounders consider all three major characteristics of the region to be important while apathetics totally deemphasise these characteristics. The planned contrasts show that demographics are instrumental in predicting differences between related clusters but not helpful in distinguishing the identified lifestyles. Research limitations/implications – The limitation of this investigation is that the important constructs used to cluster migrants are not well calibrated, although the reliability scores appear to be satisfactory. Moreover, the use of four/point importance scales does not allow attaining a greater level of construct sensitivity. The research method is unique in a sense that the cluster analysis and the planned contrasts are applied to examine contrasting values of migrant collectivities. Practical implications – A number of specific practical challenges need to be resolved by the regional decision makers in order to enhance place satisfaction by internal migrant collectivities. First, the regional and city councils will need to tailor different services, facilities, and public spaces to appeal to different requirements of migrant clusters. Second, the region's settlement support agency should provide migrants with relevant, focused, and differentiated information about available services and resources to suit their various life goals, aspirations, and values. Originality/value – This investigation tackles the problem of lacking theoretical and empirical research foundation on internal migration as a marketing phenomenon. Moreover, it is unique in its approach of conceptualising migrant segments as cultural phenomena, that is, interdependent collectivities that form on the basis of contrasting values. © 2010, Emerald Group Publishing Limited

scholarly journals Customers of place: Exploring interregional migrant collectivities

2020 ◽  
Author(s):  
Djavlonbek Kadirov ◽  
A Triveni
Keyword(s):  
Natural Resources ◽  
Decision Makers ◽  
Cluster Membership ◽  
Community Environment ◽  
City Councils ◽  
Internal Migrant ◽  
Business Opportunities ◽  
Place Satisfaction ◽  
Migrant Groups ◽  
Practical Implications

Purpose – The aim of this research is to explore how and why different migrant groups see different values in places they move to. Understanding these values and also the conditions in which these values are shaped will help in targeting marketing effort. Design/methodology/approach – The hierarchical and K/means cluster analyses were instrumental in identifying different migrant clusters. Planned contrasts were employed to compare related pairs of clusters. The logistic regression analysis identified several determinants of cluster membership likelihood. Findings – Four different internal migrant clusters are identified in the Hawke's Bay region of New Zealand. These are Material Success Seekers, Community/Environment Folks, Apathetics, and All/rounders. The former two express a fragmentalist lifestyle. Material Success Seekers emphasise regional business opportunities while being indifferent to social and natural resources. In contrast, Community/Environment Folks emphasise social and natural resources while maintaining indifference to business opportunities. In turn, the latter two clusters make up a holistic lifestyle: All/rounders consider all three major characteristics of the region to be important while apathetics totally deemphasise these characteristics. The planned contrasts show that demographics are instrumental in predicting differences between related clusters but not helpful in distinguishing the identified lifestyles. Research limitations/implications – The limitation of this investigation is that the important constructs used to cluster migrants are not well calibrated, although the reliability scores appear to be satisfactory. Moreover, the use of four/point importance scales does not allow attaining a greater level of construct sensitivity. The research method is unique in a sense that the cluster analysis and the planned contrasts are applied to examine contrasting values of migrant collectivities. Practical implications – A number of specific practical challenges need to be resolved by the regional decision makers in order to enhance place satisfaction by internal migrant collectivities. First, the regional and city councils will need to tailor different services, facilities, and public spaces to appeal to different requirements of migrant clusters. Second, the region's settlement support agency should provide migrants with relevant, focused, and differentiated information about available services and resources to suit their various life goals, aspirations, and values. Originality/value – This investigation tackles the problem of lacking theoretical and empirical research foundation on internal migration as a marketing phenomenon. Moreover, it is unique in its approach of conceptualising migrant segments as cultural phenomena, that is, interdependent collectivities that form on the basis of contrasting values. © 2010, Emerald Group Publishing Limited

scholarly journals The Adoption of Robotic Process Automation Technology to Ensure Business Processes during the COVID-19 Pandemic

2021 ◽  
Vol 13 (14) ◽  
pp. 8020
Author(s):  
Julia Siderska
Keyword(s):  
Technology Implementation ◽  
Business Processes ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Decision Makers ◽  
Process Automation ◽  
Robotic Process Automation ◽  
Service Companies ◽  
Automation Technology ◽  
Practical Implications

The study provides knowledge on the adoption of the Robotic Process Automation (RPA) technology during the COVID-19 pandemic in 110 Polish service companies. As this research was the first of its kind in Poland, the objectives of the CAWI survey were to identify the technology features of the RPA technology and the related determinants and barriers influencing the adoption of the RPA as well as to determine correlations between them. Moreover, the statistical analyses involved considering whether there were differences in the evaluation of individual RPA technology features, mainly in terms of perceived usefulness, ease of use, security and functionality. The results of the study show that almost 60% of the respondents indicated that robotization tools allowed maintaining continuity of business processes during the pandemic. The highest rated were features related to usefulness of the RPA technology. Furthermore, the analysis pointed to the most frequently indicated barriers to technology implementation that were related to nonoptimized, nonstandardized and non-digitized processes with a large number of exceptions. The study contributes to scientific knowledge and has practical implications for process automation decision-makers concerned with the adoption of the Robotic Process Automation technology. The obtained results can help them to understand the potential drivers of and barriers to the adoption of software robots by enterprises and may be an important determinant for companies’ managers in the field of implementing such solutions.

Do different types of organizational trust matter to employees’ commitment? A case study from Oman

2020 ◽  
pp. 1-11
Author(s):  
Moaz Gharib ◽  
Kamaal Allil ◽  
Omar Durrah ◽  
Mohammed Alsatouf
Keyword(s):  
Online Survey ◽  
Employee Commitment ◽  
Decision Makers ◽  
Design Strategies ◽  
Food Sector ◽  
Final Sample ◽  
Organisational Trust ◽  
Positive Effect ◽  
Practical Implications

PURPOSE: Trust is vital to all positive relationships. This empirical study explores the effect of three facets of organisational trust (trust in supervisors, in co-workers and in the organisation) on employee commitment in Salalah Mills Co. in the food industry in the Sultanate of Oman. METHODOLOGY: Data were collected via an online survey sent to all employees working in Salalah Mills Co., Oman. The final sample consisting of 102 responses with a response rate of 54 percent were analysed using multiple regression analysis. RESULTS: The findings revealed that two facets of organisational trust (trust in co-workers and trust in supervisors) were found to have a significant positive effect on employee commitment, while trust in the organisation was found to have no significant effect. PRACTICAL IMPLICATIONS: Trust in supervisors and trust in co-workers directly affect employee commitment. Therefore, managers should consider promoting both of these forms of trust to enhance employee commitment. VALUE: Although previous studies have examined the link between organisational trust and employee commitment, a focus on Oman and the food sector has been particularly rare, so this study offers new insights. The findings will help decision-makers on design strategies and policies to improve employee commitment through trust.

Size does matter – span of control in hospitals

2017 ◽  
Vol 31 (2) ◽  
pp. 192-206 ◽  
Author(s):  
Christina Holm-Petersen ◽  
Sussanne Østergaard ◽  
Per Bo Noergaard Andersen
Keyword(s):  
Design Methodology ◽  
Hospital Staff ◽  
Leadership Capacity ◽  
Decision Makers ◽  
Span Of Control ◽  
Content Type ◽  
Frontline Leaders ◽  
Practical Implications

Purpose Centralization, mergers and cost reductions have generally led to increasing levels of span of control (SOC), and thus potentially to lower leadership capacity. The purpose of this paper is to explore how a large SOC impacts hospital staff and their leaders. Design/methodology/approach The study is based on a qualitative explorative case study of three large inpatient wards. Findings The study finds that the nursing staff and their frontline leaders experience challenges in regard to visibility and role of the leader, e.g., in creating overview, coordination, setting-up clear goals, following up and being in touch. However, large wards also provide flexibility and development possibilities. Practical implications The authors discuss the implications of these findings for decision makers in deciding future SOC and for future SOC research. Originality/value Only few studies have qualitatively explored the consequences of large SOC in hospitals.

How “The Three Rules” guide strategy and investment decisions at Deloitte Consulting LLP

2015 ◽  
Vol 43 (3) ◽  
pp. 7-14 ◽  
Author(s):  
Jim Moffatt
Keyword(s):  
Design Methodology ◽  
Large Scale ◽  
Investment Decisions ◽  
Decision Makers ◽  
Research Project ◽  
Content Type ◽  
First Case ◽  
Practical Implications ◽  
Thought Leadership

Purpose – This case example looks at how Deloitte Consulting applies the Three Rules synthesized by Michael Raynor and Mumtaz Ahmed based on their large-scale research project that identified patterns in the way exceptional companies think. Design/methodology/approach – The Three Rules concept is a key piece of Deloitte Consulting’s thought leadership program. So how are the three rules helping the organization perform? Now that research has shown how exceptional companies think, CEO Jim Moffatt could address the question, “Does Deloitte think like an exceptional company?” Findings – Deloitte has had success with an approach that promotes a bias towards non-price value over price and revenue over costs. Practical implications – It’s critical that all decision makers in an organization understand how decisions that are consistent with the three rules have contributed to past success as well as how they can apply the rules to difficult challenges they face today. Originality/value – This is the first case study written from a CEO’s perspective that looks at how the Three Rules approach of Michael Raynor and Mumtaz Ahmed can foster a firm’s growth and exceptional performance.

Who’s making the decisions? How managers can harness artificial intelligence and remain in charge

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pooya Tabesh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Big Data ◽  
Digital Transformation ◽  
Decision Processes ◽  
Decision Makers ◽  
Content Type ◽  
Human Decision ◽  
Practical Implications

Purpose While it is evident that the introduction of machine learning and the availability of big data have revolutionized various organizational operations and processes, existing academic and practitioner research within decision process literature has mostly ignored the nuances of these influences on human decision-making. Building on existing research in this area, this paper aims to define these concepts from a decision-making perspective and elaborates on the influences of these emerging technologies on human analytical and intuitive decision-making processes. Design/methodology/approach The authors first provide a holistic understanding of important drivers of digital transformation. The authors then conceptualize the impact that analytics tools built on artificial intelligence (AI) and big data have on intuitive and analytical human decision processes in organizations. Findings The authors discuss similarities and differences between machine learning and two human decision processes, namely, analysis and intuition. While it is difficult to jump to any conclusions about the future of machine learning, human decision-makers seem to continue to monopolize the majority of intuitive decision tasks, which will help them keep the upper hand (vis-à-vis machines), at least in the near future. Research limitations/implications The work contributes to research on rational (analytical) and intuitive processes of decision-making at the individual, group and organization levels by theorizing about the way these processes are influenced by advanced AI algorithms such as machine learning. Practical implications Decisions are building blocks of organizational success. Therefore, a better understanding of the way human decision processes can be impacted by advanced technologies will prepare managers to better use these technologies and make better decisions. By clarifying the boundaries/overlaps among concepts such as AI, machine learning and big data, the authors contribute to their successful adoption by business practitioners. Social implications The work suggests that human decision-makers will not be replaced by machines if they continue to invest in what they do best: critical thinking, intuitive analysis and creative problem-solving. Originality/value The work elaborates on important drivers of digital transformation from a decision-making perspective and discusses their practical implications for managers.

Revitalizing Human Communities and Reclaiming Biological Communities

2017 ◽  
Author(s):  
William R. Burch ◽  
Gary E. Machlis ◽  
Jo Ellen Force
Keyword(s):  
United States ◽  
Natural Resources ◽  
Ecosystem Model ◽  
The United States ◽  
Decision Makers ◽  
Public And Private ◽  
Integrated Network ◽  
Biological Communities ◽  
Human Ecosystem ◽  
Problems And Solutions

This chapter demonstrates how the Human Ecosystem Model (HEM) offers a unity of understanding with shared concepts, a framework, and a model for resolving complex human ecosystem problems. With it, decision-makers from different organizations—public and private—may coordinate their work with that of local citizens. The emphasis is on the whole system, which combines issues such as trends in crime, housing, education, health, natural resources, and community stability into an integrated network. The chapter illustrates how the framework and model was applied in a major city in the United States: Baltimore, Maryland. The Baltimore story emphasizes that certain universal problems and solutions confront all human societies. The universality of problems and the search for integrated solutions required a framework like the HEM to identify, apply, and store learning.

scholarly journals The use of cultural risk assessment within the 1994 Tribal land-grant colleges and universities

2020 ◽  
Vol 1 (1) ◽  
pp. 1-3
Author(s):  
Alvin L Young
Keyword(s):  
United States ◽  
Risk Assessment ◽  
Native Americans ◽  
Natural Resources ◽  
Waste Treatment ◽  
The United States ◽  
Decision Makers ◽  
Land Grant ◽  
United States Department ◽  
Cultural Issues

In 1994, the United States Congress established 35 Colleges or Universities on Reservation Lands of the Native Americans throughout the Midwest and Western United States. These new institutions were provided annual funds from the United States Department of Agriculture for education, research and extension, components of the Land-Grant system. Today, issues related to risk assessment and risk management confront tribal decision-makers as they cope with risks, both real and perceived, that include the transportation of hazardous materials through the reservation, the clean-up of contaminated sites within the reservation, the environmental restoration of Federal facilities, the siting of waste treatment, storage, and disposal facilities, the development of tribal mineral and other natural resources, and the construction and operation of industrial and commercial facilities within the reservation. Tribal decision-makers lack Indian-specific epidemiologic, genetic, and cultural information that impact current risk assessment models needed to incorporate tribal cultural issues. There is a need to enhance the science skills of tribal college faculty in assisting tribal councils and tribal colleges in the long-term planning and stewardship of natural resources on their reservations.

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