Search results

The purpose of this paper is to demonstrate the usefulness of the “audience exchange” approach for audience development and research, and to highlight the insights offered by peer-to-peer dialogue in understanding experiences of unfamiliar arts.

Using a case study with contemporary arts audiences, and setting this in the wider context of studies with other first-time attenders at a range of arts events, the paper explores the use of the “audience exchange” method, in which facilitated conversations after performance events allow newcomers to reflect upon and deepen their first-time encounters with live arts.

The study demonstrates the way in which conversations about arts events can enrich audience experience, and shows how participants use exploratory and emotional language to articulate their understanding of unfamiliar arts events. Peer-to-peer learning occurs through these conversations, in ways that could be further supported by arts organisations as a valuable tool for audience development. The audience exchange discussions also reveal the varieties of participation from “drifting” to full attention that are all part of audience engagement.

This is a small-scale, qualitative study, and the method has potential to be tested in future studies with a greater variety of participants (e.g. younger or more ethnically diverse groups).

Use of the audience exchange for enriching experiences of first-time attendance could be adopted by arts organisations as a regular part of their audience engagement. Greater understanding of how new audience members draw on prior cultural experiences in finding the language to articulate their first impressions of an unfamiliar arts event could be valuable for targeted marketing and increasing accessibility.

The originality of this study lies in its elaboration of the audience exchange method, and its focus on the language and peer-to-peer learning evident in the facilitated post-performance discussions.

The tax burden, defined as the ratio of the collected taxes in a particular period against the total product, is commonly used to determine the effect of fiscal and tax policies on the socioeconomic structure. The purpose of this study is to examine how the changes in some macroeconomic indicators affect the tax burden.

System generalized method of moments approach is used for 34 Organisation for Economic Co-operation and Development (OECD) members in the period of 1993-2016.

Based on the research findings, variables such as income per capita, foreign trading volume, the capacity of employment, unemployment and economic share of industry sector effect tax burden in a statistically significant and positive direction. The reason that lies behind the positive effect of unemployment on tax burden is the fact that the sense of social state is not abandoned. Thus, it is predicted that the state will increase public transfer expenditures in the short term due to unemployment, this increase will impose a financial burden on the public sector both in the medium and long term and finally, there will be an increase in the tax burden.

Results in the literature suggest that there are many reasons for increasing tax burden such as socio-economic development, financial and organizational structure and the globalization process. However, according to this study, it seems that gross domestic product per capita, the size of the industry sector, openness, employment capacity and unemployment rate also have a positive and significant effect on tax burden in the long run. Ultimately, these results demonstrate that tax burden, one of the most important indicators of the public sector size in the sample of the states and period in hand, is influenced positively by all independent variables and increases slightly but surely. These results suggest that the tax state is still a determinative factor in the socioeconomic field within its taxation tools.

This study investigates the dynamic production structure of the Japanese manufacturing industry by using the adjustment cost approach. The study is to shed some light on the unique dynamic structure of the Japanese manufacturing industry. The study attempts to help design and predict industrial policies that are implemented to enhance domestic investments by the Japanese government.

This study obtains a system of dynamic factor demand and output supply equations by applying the dual approach to the intertemporal value function as represented by the Hamilton–Jacobi equation. By using industrial panel data for 1973–2012 of the Japanese manufacturing industry, the study estimates the system of the behavioral equations and corresponding elasticities. The study uses hypothesis tests and dynamic elasticities to investigate the dynamic structure of the Japanese manufacturing industry.

Estimation results show that labor and capital are quasi-fixed variables that adjust about 0.2 percent annually to the long-run optimum levels. Estimated adjustment rates are very slow as often presumed about the Japanese manufacturing industry, which uses lifetime employment practice and slow decision-making process in investment decisions. The results also show that output supply and factor demand elasticities vary greatly depending on time horizon. Factor demand increases when its own price increases in the short run, suggesting that factor adjustment is mostly determined factor prices in the past due to sluggish factor adjustment. However, factor demand becomes a normal downward-sloping curve in the long run as factor adjustment gets completed.

Japanese manufacturing firms hire employees through lifetime contract to exploit the benefits of dynamic learning-by-doing and execute investments carefully considering all the possible impacts. Under the strategy, adjustment costs for changing workers and capital stock are minimized. Dynamic adjustment model is expected to shed some light on the unique dynamic structure of the Japanese manufacturing industry. However, researches regarding the dynamic factor adjustment of the Japanese manufacturing industry are hard to find. This study is expected to fill the research vacuum.

This paper aims to show which factors influence the perception of human resources professionals about managers over 50 years old and which factors guide the age management practices adopted in the surveyed companies.

To this end, a survey was conducted with 140 companies accessed from a database of a human resources association. Through the answers obtained through the online questionnaire, an exploratory factor analysis was made with the aid of Software R.

Thus, it was possible to identify four factors that explain the work posture of professionals 50 years of age and older (company expectations, performance, morality and knowledge and professionalism) and three factors that guide the adoption of age management practices in organizations (recruitment & selection and integration, retention and continuity in the company, adaptation to the needs).

The results suggest that, even considering the high performance of older managers, perceived by HR professionals, the adoption of age management practices is still insufficient, making it difficult for these professionals to enter and remain in organizations. Moreover, it can be inferred that such posture indicates biases of discrimination and age stereotypes.

Economic theories on structural change focus on factors such as fluctuations in relative prices and income growth. In addition, China’s reform and opening up has also been accompanied by increasing openness, significant fluctuations in investment rates, and frictions in the labor market. Existing literature lacks a unified theoretical framework to assess the relative importance of all these determinants. The paper aims to discuss these issues.

To incorporate all of the potential determinants of China’s structural change, the authors build a two-country four-sector neoclassical growth model that embeds the multi-sector Eaton and Kortum (2002) model of international trade, complete input-output structure, non-homothetic preference and labor market frictions. The authors decompose the sectoral employment shares into six effects: the Baumol, Engel, investment, international trade, factor intensity and labor market friction effects. Using the data of Chinese economy from 1978 to 2011, the authors perform a quantitative investigation of the six determinants’ effects through the decomposition approach and counterfactual exercises.

Low-income elasticity of demand, high labor intensity, and the existence of the switching costs are the reasons for the high employment share in the agricultural sector. Technological progress, investment and international trade have comparatively less influence on the proportion difference of employment in the three sectors.

Therefore, to examine the impact on China’s structural change, in addition to Baumol effect and the Engel effect, it is also necessary to consider the impact of three more factors: international trade, investment and switching costs. Therefore, the authors decompose the factors that may influence China’s structural change into the Baumol, Engel, investment, international trade, factor intensity effect and switching cost effects. The authors evaluate these six effects using the decomposition approach and counterfactual exercises.

Governments worldwide seek to optimize value in public project bids. Social procurement (SP) has become a global tool for achieving project goals. The purpose of this study is to assess the understanding of SP among contractors and identify its drivers to optimize the value associated with public projects.

A total of 15 major contractors were interviewed to obtain their views on SP, appreciate their current practices and identify the main drivers of SP in projects. A semistructured interview was used to gather relevant data. Neo-institutional theory is the lens of the study used to provide the focus of the research. The collected data were analyzed using the thematic data analysis technique.

The study found that SP is understood as corporate social responsibility and is not handled in a structured manner guided by policies or clearly defined procedures. Additionally, research has shown that compliance requirements, rather than value and goodwill, are the main inspiration for SP practices.

The study’s limitation is the fact that it was conducted in the context of Botswana and only used the interview technique as the solo data collection method. The other limitation is the lack of empirical literature on SP concerning the lack of SP policy in Botswana.

This study raises awareness of the concept of SP among contractors in Botswana and eases its implementation within the industry.

Optimal application and commitment toward financial management practices enhance organization performance. This study aims to assess the influence of financial management practices on organizational performance of small- and medium-scale enterprises.

Data were collected from 45 small-sized and 72 medium-sized firms. Data supported the hypothesized relationships. Construct reliability and validity were established through confirmatory factor analysis. The conceptual model and hypotheses were evaluated by using structural equation modeling.

The results indicate that working capital significantly influenced organizational performance. Capital budget management significantly influenced organizational performance. A non-significant influence of asset management on organizational performance was observed.

The generalizability of the findings will be constrained due to the research’s SMEs focus and cross-sectional data.

The study’s findings will serve as valuable pointers for stakeholders and decision-makers of SMEs in the development of well-articulated and proactive financial management systems to ensure competitiveness, sustainability, viability and financial competences.

The study adds to the corpus of literature by evidencing empirically that financial management practices significantly influenced SMEs’ performance.

In this paper, the authors argue that the blueprint that was organically developed over the course of approximately three centuries, from The Grand Tour to this day, is likely to see something close to a repeat in the development of that final frontier.

The study used the methodology of reviewing the literature and model comparison.

Opportunities will expand and change along the same trends that lead The Grand Tour to evolve into mass tourism, because as in the past people's perceptions about what is possible and reasonable will change the more common such once fictional ideas become reality.

Nothing is in the current tourism literature, on this topic. This is new and unique.

The study develops a decision support system for the spatial distribution of store flyers, identifying a number of factors related to the demand and the competition influencing the complexities of their allocation to the target population.

The model was developed incorporating the insights found in existing marketing literature and bypassing the limitations of the managerial practices. To this end, an in-depth discussion with a panel of retailers was held. The model was tested in collaboration with a retail chain.

The proposed system is flexible and provides an almost endless array of solutions in accordance with the retailer's strategic approach to the market. It captures the key trade-offs that need to be made during the decision-making process of a retailer with limited marketing resources.

The traditional managerial approach, based on a set of operational steps, is overtaken by a model that systematically considers the interrelationships between the decision-making factors involved.

This is the first attempt to analyse spatial distribution of store flyers, a topic that has yet to be explored in retail marketing research. The paper conceptualises the key variables which affect the optimisation problem and reviews the different streams of extant research to obtain the appropriate insights.