Is tourism conducive to residents’ social trust? Evidence form large-scale social surveys

2018 ◽  
Vol 73 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Marianna Strzelecka ◽  
Adam Okulicz-Kozaryn
Keyword(s):  
Large Scale ◽  
Social Trust ◽  
Large Data ◽  
Economic Incentives ◽  
Content Type ◽  
Theoretical Contribution ◽  
Social Surveys ◽  
Political Processes ◽  
Study Results ◽  
Domestic Tourism

Purposes This paper aims to understand the character of the relationship between tourism growth and residents’ social trust. Design/methodology/approach The study uses large-scale data to model the effect of tourism on generalized trust attitudes Among advantages to analyzing data from large-scale social surveys, extensive content and representative coverage of the population are probably the most appealing. The broad coverage of the population of the large-scale social surveys allows for a broader generalization of the study results as well as comparison of areas with very different tourist activity. Findings This study offers two key findings. First, the effect of tourist arrivals (as per capita) on social trust attitudes is stronger in poorer regions than in wealthier regions. Second, only domestic tourism positively affects trust. Research limitations/implications This study delivered a straightforward analysis of large data to be able to generalize findings and make a significant theoretical contribution to tourism discipline. This goal was pursued at the expense of complex or in-depth explanation of the observed phenomenon. Practical implications Findings from this study indicate that there are at least two crucial criteria for tourism to be able to strengthen residents’ social trust. First, domestic tourism should be encouraged in destination regions in their early development stages and in more homogeneous regions. Perhaps, focus on domestic tourists before internationalization of a tourism product is the most effective way to promote tourism development that is supported by local residents. Second, tourism is likely to have stronger positive effect on social trust in poorer regions. Thus, tourism policy makers should take into consideration the actual economic need for tourism. Residents in wealthier regions may show less support for tourism simply because they don’t need it and they have no economic incentives to be involved. In fact, tourism in wealthier regions is likely to diminish residents’ social trust, and thus it disrupts local social and political processes that rely on high social trust. Originality/value Social trust is considered an important measure of social cohesion and it enables modern societies to thrive. Social trust has not been problematized in the context of contemporary tourism growth. This is the first study that uses large data social survey to model the effect of tourism on social trust in European destination regions.

Increasing organisational attractiveness

2018 ◽  
Vol 5 (2) ◽  
pp. 124-141 ◽  
Author(s):  
André de Waal
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Performance Level ◽  
Quality Level ◽  
Content Type ◽  
High Performing ◽  
Customer Complaints ◽  
Positive Feeling ◽  
Study Results ◽  
High Performance Level

Purpose Happiness at work (HAW) is receiving much attention in the literature, as HAW seems to have a positive effect on organisational performance, such as in increase of productivity, lower turnover of employees and less customer complaints. There is however no research into the relation between HAW and the attractiveness of an organisation. It stands to reason that people who are happier at work are also happier about their organisation and express this to their family and friends. Having an attractive organisation is becoming increasingly important as the world is currently experiencing an economic boom creating shortages of qualified personnel. The paper aims to discuss this issue. Design/methodology/approach A possible way of creating an attractive organisation is by transforming the workplace into a high-performing organisation (HPO). The study described in this paper is looking in this respect at three hypotheses: H1. Higher HAW will increase the attractiveness of the organisation; H2. Becoming an HPO will increase HAW; and H3. Becoming an HPO will increase the attractiveness of the organisation. A large-scale survey of Dutch managers and employees was undertaken in which the respondents were asked their opinion of the high-performance level and attractiveness of their organisation, and their happiness with their job and organisation. Findings The study results show that the three hypotheses are basically confirmed. Increasing the happiness of work of employees, in general, raises the feeling of how attractive the organisation is to the employees themselves and to the external world. However, this positive feeling is mainly true for the work itself but not so much for how committed employees feel to the organisation. Practical implications Organisations now have knowledge at their disposal about ways to promote happiness in their employees, thus raising their attractiveness to current and future employees. Originality/value The study results indicate that senior management has to make more effort to raise the quality level of the organisation, preferably towards the high performance level, in order for employees to start feeling more committed to their organisation. This is because the study results show that transforming an organisation into a high-performance entity increases happiness of employees at work significantly, especially about their work and in a lesser degree with the commitment they feel towards the organisation itself. This result has not been found before, so this research provides managers for the first time with a validated way to help their staff to become happier and more productive.

Size matters

2014 ◽  
Vol 24 (3) ◽  
pp. 224-237 ◽  
Author(s):  
Valerie Johnson ◽  
Sonia Ranade ◽  
David Thomas
Keyword(s):  
Large Scale ◽  
Cost Savings ◽  
Large Data ◽  
Data Sets ◽  
Content Type ◽  
Large Scale Data ◽  
Archival Record ◽  
Original Record ◽  
Definition Of ◽  
Practical Implications

Purpose – This paper aims to focus on a highly significant yet under-recognised concern: the huge growth in the volume of digital archival information and the implications of this shift for information professionals. Design/methodology/approach – Though data loss and format obsolescence are often considered to be the major threats to digital records, the problem of scale remains under-acknowledged. This paper discusses this issue, and the challenges it brings using a case study of a set of Second World War service records. Findings – TNA’s research has shown that it is possible to digitise large volumes of records to replace paper originals using rigorous procedures. Consequent benefits included being able to link across large data sets so that further records could be released. Practical implications – The authors will discuss whether the technical capability, plus space and cost savings will result in increased pressure to retain, and what this means in creating a feedback-loop of volume. Social implications – The work also has implications in terms of new definitions of the “original” archival record. There has been much debate on challenges to the definition of the archival record in the shift from paper to born-digital. The authors will discuss where this leaves the digitised “original” record. Originality/value – Large volumes of digitised and born-digital records are starting to arrive in records and archive stores, and the implications for retention are far wider than simply digital preservation. By sharing novel research into the practical implications of large-scale data retention, this paper showcases potential issues and some approaches to their management.

Collecting and evaluating large volumes of bibliographic metadata aggregated in the WorldCat database: a proposed methodology to overcome challenges

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vyacheslav I. Zavalin ◽  
Shawne D. Miksa
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Large Data ◽  
Study Data ◽  
Lessons Learned ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Large Data Set ◽  
Smart Data

Purpose This paper aims to discuss the challenges encountered in collecting, cleaning and analyzing the large data set of bibliographic metadata records in machine-readable cataloging [MARC 21] format. Possible solutions are presented. Design/methodology/approach This mixed method study relied on content analysis and social network analysis. The study examined subject representation in MARC 21 metadata records created in 2020 in WorldCat – the largest international database of “big smart data.” The methodological challenges that were encountered and solutions are examined. Findings In this general review paper with a focus on methodological issues, the discussion of challenges is followed by a discussion of solutions developed and tested as part of this study. Data collection, processing, analysis and visualization are addressed separately. Lessons learned and conclusions related to challenges and solutions for the design of a large-scale study evaluating MARC 21 bibliographic metadata from WorldCat are given. Overall recommendations for the design and implementation of future research are suggested. Originality/value There are no previous publications that address the challenges and solutions of data collection and analysis of WorldCat’s “big smart data” in the form of MARC 21 data. This is the first study to use a large data set to systematically examine MARC 21 library metadata records created after the most recent addition of new fields and subfields to MARC 21 Bibliographic Format standard in 2019 based on resource description and access rules. It is also the first to focus its analyzes on the networks formed by subject terms shared by MARC 21 bibliographic records in a data set extracted from a heterogeneous centralized database WorldCat.

Russia’s energy in 2030: future trends and technology priorities

foresight ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 139-151 ◽  
Author(s):  
Liliana Proskuryakova
Keyword(s):  
Large Scale ◽  
Process Efficiency ◽  
Future Research ◽  
Valuable Insight ◽  
Energy Research ◽  
Content Type ◽  
Ex Post ◽  
Study Results ◽  
The Future ◽  
Practical Implications

Purpose The purpose of the study is to discuss and critically assess the outcomes of the Foresight study of the Russian energy sector, undertaken in 2014 in the course of a large-scale national Foresight exercise – “Science and Technology (S&T) Foresight 2030”. Design/methodology/approach In this paper, the author performs an ex post evaluation of the Foresight study. The methods used are the literature review of the research and analytical publications that appeared after 2014, policy analysis of new national energy regulations and technologies, interviews and expert panels, and performing a final SWOT (strengths, weaknesses, opportunities and threats) analysis of the Foresight study. Findings As a result of the study, the expediency, efficacy, process efficiency, quality, impact and process improvement of the National S&T Foresight 2030 were assessed. Moreover, the SWOT for the National Foresight and its energy-related outcomes were identified. The National Foresight methodology and its outcomes are critically reviewed, and recommendations for their refinement are made. Research limitations/implications Future research on the topic may include subsequent ex ante and ex post evaluations of energy technology foresights that will include revised lists of technologies, given the rapidly changing energy markets, as well as an assessment of the integration of the study results in the energy and S&T policy documents. Practical implications The practical implications of the study are linked with turning the prospective R&D areas identified through the Foresight into state priorities for funding energy research. Energy companies may utilize the study results in their development plans and R&D strategies. Originality/value This paper offers a valuable insight in the future of energy research and technologies in Russia. It is a comprehensive study that covers all energy aspects from extraction of hydrocarbons to fuel cells and nuclear energy. An ex post assessment of the study is made with implications for the future research.

Customer attrition analysis in the securities industry: a large-scale field study in Korea

2019 ◽  
Vol 38 (3) ◽  
pp. 561-577
Author(s):  
Yongkil Ahn ◽  
Dongyeon Kim ◽  
Dong-Joo Lee
Keyword(s):  
Financial Services ◽  
Large Scale ◽  
Investment Banking ◽  
Data Set ◽  
Content Type ◽  
Study Results ◽  
Scale Field ◽  
Large Scale Field ◽  
Securities Industry ◽  
Customer Attrition

Purpose The purpose of this paper is to identify the attributes that predict customer attrition behavior in the brokerage and investment banking sectors. Design/methodology/approach The authors analyze the complete stock trading records and customer profiles of 458,098 retail customers from a Korean brokerage house. The authors develop customer attrition prediction models and further explore the practicality of these models using statistical classification techniques. Findings The results from three different binary selection models indicate that customer transaction patterns effectively explain the attrition of active retail customers in subsequent periods. The study results demonstrate that monetary value variables are the most critical for predicting customer attrition in the securities industry. Research limitations/implications This study contributes to the customer attrition literature by documenting the first large-scale field-based evidence that confirms the practicality of the canonical recency, frequency and monetary (RFM) framework in the investment banking and brokerage industry. The findings advance previous survey-based studies in the financial services industry by identifying the attributes that predict customer attrition behaviors in the securities industry. Practical implications The outcomes can be easily operationalized for attrition prediction by practitioners in financial service firms. Moreover, the ex post density of inactive customers in the top 10 percent most-likely-to-churn group is estimated to be five to six times the ex ante unconditional attrition ratio, which ascertains that the attributes recognized in this study work well for the purpose of target marketing. Originality/value While the securities industry is regarded as one of the most information-intensive industries, detailed empirical investigation into customer attrition in the field has lagged behind partly due to the lack of suitable securities transaction data and demographic information at the customer level. The current research fills this gap in the literature by taking advantage of a large-scale field data set and offers a starting point for more elaborate studies on the drivers of customer attrition in the financial services sector.

Understanding entrepreneurial academics ‐ how they perceive their environment differently

2020 ◽  
Vol 39 (5) ◽  
pp. 599-617 ◽  
Author(s):  
Todd Davey ◽  
Victoria Galan-Muros
Keyword(s):  
Academic Entrepreneurship ◽  
Large Data ◽  
Entrepreneurial Activity ◽  
Data Set ◽  
Content Type ◽  
Entrepreneurial Behaviour ◽  
Narrow View ◽  
Study Results ◽  
Entrepreneurial Activities ◽  
Practical Implications

PurposeAcademic entrepreneurship is seen as a pathway for universities to create value from their knowledge. However, there has been a lack of clarity about what activities constitute academic entrepreneurship, the different type of entrepreneurial academics and how their perceptions of their environment relate to their engagement.Design/methodology/approachDrawing on a large data set of 10,836 responses across 33 countries, the empirical study investigates European academics who undertake four academic entrepreneurship activities (spin-out creation, commercialisation of R&D results, joint R&D and consulting) to determine if they perceive the environment for academic entrepreneurship differently than those who undertake only some of the activities and those undertaking none at all.FindingsThe findings show that less than 1% of academics undertake exclusively spin-offs creation or R&D commercialisation; however, the majority also engage in other entrepreneurial activities such as joint R&D and consulting and even other education and management engagement activities with industry. In addition, entrepreneurial academics in Europe perceive significantly higher motivators and more developed supporting mechanisms for academic entrepreneurship. However, their perceptions of barriers are similar.Practical implicationsAt a managerial and policy level, the study results call into question universities prioritising a narrow view of academic entrepreneurship which focusses only on spin-offs creation and R&D commercialisation. Instead, a broader view of academic entrepreneurship is recommended and appropriate mechanisms in place to enable academics to achieve research outcomes from their entrepreneurial activity.Originality/valueThis paper offers an important contribution on how the perception of the environment contributes to the development of entrepreneurial behaviour in individual academics.

Supply chain sustainability trajectories: learning through sustainability initiatives

2020 ◽  
Vol 40 (9) ◽  
pp. 1301-1337
Author(s):  
Bruno S. Silvestre ◽  
Minelle E. Silva ◽  
Allan Cormack ◽  
Antônio Márcio Tavares Thome
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Path Dependence ◽  
Large Scale ◽  
Longitudinal Research ◽  
Chain Dynamics ◽  
Content Type ◽  
Study Results ◽  
Sustainability Initiatives ◽  
Supply Chain Dynamics

PurposeThis paper explores how organizational capabilities and path dependence affect the implementation of supply chain (SC) sustainability initiatives. Through the lenses of contingency and evolutionary theory, the paper addresses the underexplored supply chain dynamics that enhance or inhibit sustainability trajectories.Design/methodology/approachUsing in-depth multi-case studies for theory elaboration, five supply chains were studied through open-ended interviews with SC members, secondary data collection and site visit observation. The design consists of a combination of deductive and inductive approaches to elaborate theory on supply chain dynamics and enhanced sustainability trajectories.FindingsThe empirical study shows that learning is a fundamental condition for supply chains as they implement sustainability initiatives, and that exploitation capabilities are more frequently used than exploration capabilities. Path dependence plays a role in the outcomes of supply chain sustainability initiatives, which are influenced by both path dependence and contingencies of the contexts in which these systems operate.Research limitations/implicationsThis paper puts forward five propositions that emerge from the literature and from the field study results. Although this is an exploratory research bounded by geographical limitations and the limited number of SC cases, the goal of elaborating theory may open up several promising avenues for future large-scale and longitudinal research studies.Practical implicationsBy enhancing our understanding of the dynamics of supply chain sustainability trajectories, decision-makers, scholars and policy-makers can better understand how supply chains learn, how they employ SC member capabilities and how they deal with stakeholder resistance.Originality/valueThis paper extends supply chain sustainability theory by addressing the knowledge gap that exists with regard to understanding the dynamics of evolving supply chain sustainability trajectories. This paper sheds additional light on this important topic and contributes in multiple ways to the sustainable supply chain management literature.

Developing a scale of social commerce service quality: an exploratory study

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mona Jami Pour ◽  
Fateme Ebrahimi Delavar ◽  
Ghazale Taheri ◽  
Sanaz Kargaran
Keyword(s):  
Service Quality ◽  
Social Trust ◽  
Business Environment ◽  
Survey Method ◽  
Social Commerce ◽  
Design Quality ◽  
Content Type ◽  
The Social ◽  
Study Results

Purpose Following the emergence of Web 2.0 technologies, social commerce has been viewed as an inseparable part of today’s business environment. Social commerce is a recent version of e-commerce, which has rapidly become a new interesting field for both practitioners and academics. To improve social commerce success, managers should be aware of what encompasses social commerce quality, how consumers sense it and how it is assessed. Though, despite the importance of social commerce, designing of scales for measuring the social commerce quality has rarely been explored. Therefore, the purpose of this study is to develop a new scale for measuring the social commerce service quality comprehensively. Design/methodology/approach To obtain the research objective, in the first step, a comprehensive literature review along with focus group discussions was conducted to theoretically conceptualize service quality dimensions and measures. Then, for evaluating the proposed scale via social commerce customers, the survey method was used. Finally, the verified measures were weighted and ranked using fuzzy analytic hierarchy process. Findings The findings showed that social commerce service quality is a hierarchical and multidimensional construct consisting of six key dimensions including information quality, social interaction quality, design quality, functional quality, social trust/security and social support. Research limitations/implications The study results assist managers to improve the quality of social commerce services through increasing the awareness of customers’ perceptions and expectations concerning social service quality. They further help managers to understand systematically all dimensions of social commerce service quality, which may lead to reduce the risk of social commerce adaptation failure and consequently increase the customers’ satisfaction. Originality/value The role of service quality in acceptance and success of social commerce has been emphasized by many academics and practitioners. However, review of the previous literature shows that inadequate studies in this field have been conducted so far. The main contribution of this study is conceptualization and development of a validated scale for measuring the social commerce service quality. This scale provides a useful instrument for researchers who wish to measure the service quality of social commerce and for managers who want to improve the perceived quality of their services.

Older workers’ education and earnings among OECD countries

2018 ◽  
Vol 42 (3/4) ◽  
pp. 170-190 ◽  
Author(s):  
Doo Hun Lim ◽  
Shin-hee Jeong ◽  
Sangok Yoo ◽  
Min Hee Yoo
Keyword(s):  
Older Workers ◽  
Formal Education ◽  
Social Trust ◽  
Developed Countries ◽  
Economic Benefits ◽  
Influential Factors ◽  
Content Type ◽  
Individual Level ◽  
Country Level ◽  
Study Results

PurposeThe purpose of this study is to identify to what extent individual-level factors (age, gender, participation in formal and non-formal education and levels of skills use at work) and country-level factors (social capital factors, national competitiveness and gross domestic product [GDP]) have contributed to older generations’ earnings in developed countries.Design/methodology/approachUtilizing the data from the Organizational Economic Co-operation and Development Skills Outlook 2013 survey, GDP and the World Economic Forum’s annual Global Competitiveness Report, this study adopted a multilevel path analysis method to measure cross-country-level effect of the study variables on older workers’ earnings.FindingsStudy results indicated that age, gender, non-formal education, use of influencing and task discretion skills at work at the individual level, and GDP, social trust, and higher education and training at the country level were identified as influential factors for older workers’ monthly earnings.Originality/valueWith more aging societies worldwide, the traditional view of the aging workforce has been affected by the desires and needs of the elderly. This study contributes to the literature by identifying what individual- and country-level factors should be considered for policymakers to improve the economic benefits of older generations living in developed countries.

Integrating vehicle tracking and routing systems in retail distribution management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Loay Salhieh ◽  
Mohammad Shehadeh ◽  
Ismail Abushaikha ◽  
Neil Towers
Keyword(s):  
Field Experiment ◽  
Large Scale ◽  
Field Experiments ◽  
Experimental Treatment ◽  
Capital Budgeting ◽  
Vehicle Tracking ◽  
Content Type ◽  
Study Results ◽  
Distribution Operations

PurposeThe purpose of this paper is to assess the benefits of integrating IT tracking and routing systems into last-mile distribution operations. The paper also demonstrates the role of field experiments as a valid approach for improving the rigour of logistics research.Design/methodology/approachThe study employs a field experiment approach. Data were collected before and after the experimental treatment from 16 participating vehicles, which were used as inputs and outputs to calculate vehicles' efficiencies using data envelopment analysis.FindingsThrough employing manipulation and random assignment to investigate causality in naturally occurring contexts, the study results show statistical evidence for the role of vehicle tracking and routing systems in enhancing fleet efficiency. Furthermore, results show that field experiment is an appropriate method for capital budgeting of deploying IT systems in the distribution function.Practical implicationsDistribution managers can use a field experiment setup to assess the potential impact of installing IT solutions prior to large-scale implementation or prior to purchasing.Originality/valueThe study fills a gap in the literature through the application of a field experiment approach to establish causality relationships in distribution and logistics research. This study should encourage new research on the role of field experimentation in evaluating the benefits gained from, and the capital budgeting of, the modern disruptive technologies in supply chains.

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