Arts and Business: The Impact of Business Models on the Activities of Major Performing Arts Organisations in Australia

2010 ◽  
Vol 135 (1) ◽  
pp. 32-44 ◽  
Author(s):  
Jo Caust
Keyword(s):  
Performing Arts ◽  
Business Models ◽  
The Impact ◽  
Performing Arts Organisations

Influence of social networks on business processes’ development

2020 ◽  
Vol 19 (12) ◽  
pp. 2225-2252
Author(s):  
E.V. Popov ◽  
V.L. Simonova ◽  
O.V. Komarova ◽  
S.S. Kaigorodova
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Business Models ◽  
Business Processes ◽  
Digital Economy ◽  
Theoretical Understanding ◽  
Sales Channels ◽  
A Value ◽  
The Impact

Subject. The emergence of new ways of interaction between sellers and buyers, the formation of new sales channels and product promotion based on the use of digital economy tools is at the heart of improving the business processes. Social networks became a tool for development; their rapid growth necessitates theoretical understanding and identification of potential application in enterprise's business process digitalization. Objectives. We explore the role of social media in the digitalization of business processes, systematize the impact of social networks on business processes of enterprises in the digital economy. Methods. The theoretical and methodological analysis of social networks as a tool for digitalization of company's business processes rests on the content analysis of domestic and foreign scientific studies, comparison, generalization and systematization. Results. We highlight the key effects of the impact of social networks on the business processes of the company; show that the digitalization of business processes should be considered in the context of a value-based approach, aimed at creating a value through the algorithmization of company operations. We determine that social networks are one of the most important tools for digitalization of company's business processes, as they have a high organizational and management potential. We also systematize the effects of social media on company's business processes. Conclusions. We present theoretical provisions of the impact of social networks on business processes of enterprises, which will enable to model and organize ideas about the development of digital ecosystems and the formation of business models.

Conceptualizing and planning interventions

2017 ◽  
Author(s):  
Daisy Fancourt
Keyword(s):  
Health Care ◽  
Business Models ◽  
Health Interventions ◽  
Relevant Research ◽  
Target Groups ◽  
The Arts ◽  
The Impact ◽  
Arts In Health

This chapter outlines the first four stages in the process of designing and delivering arts in health interventions. Using business models from industry, management, and health care, it provides a step-by-step guide to conceptualizing and planning effective arts in health interventions that meet a real need within health care. It shows how to scope national and local opportunities, identify specific challenges that the arts could address, select appropriate target groups, understand the needs of patients, public, and staff, undertake consultations, identify relevant research, develop initial ideas, plan for a pilot, and model the impact that the intervention could have. These steps will provide the foundation for a creative and novel intervention with the potential to have real impact and sustainability.

Navigating the New Retail Landscape

2020 ◽  
Author(s):  
Alan Treadgold ◽  
Jonathan Reynolds
Keyword(s):  
Case Studies ◽  
Business Models ◽  
Retail Industry ◽  
Drivers Of Change ◽  
Economic Crises ◽  
Global Pandemic ◽  
Personal Leadership ◽  
Practical Guidance ◽  
The Impact ◽  
Rapid Emergence

The retail industry globally is in an era of profound, perhaps unprecedented, change, change which has been further accelerated for many by the impact of the COVID-19 global pandemic and its attendant health and economic crises. This book is intended to serve as a wide-ranging, robust, practical guide to leaders of enterprises tasked with understanding and delivering success in the new landscape of retailing. Part 1 describes the major directions and drivers of change that define the new global landscape of retailing. Accelerating changes in technology, the rise to prominence globally of internet enabled shoppers and the rapid emergence of entirely new retail enterprises and business models are combining to re-shape the very fundamentals of the retail industry. The new landscape of retailing is unforgiving: success can be achieved more quickly than ever before but failure is equally rapid. Opportunities in the new landscape of retailing are profound, but so too are the challenges. Part 2 discusses the structures, skills and capabilities that retail enterprises will need to be successful in this new landscape and the skills and capabilities required of the leaders of retail enterprises. More than 25 detailed case studies of innovative, successful enterprises internationally and more than one hundred smaller examples, all updated and many new since the first edition, are used to illustrate the themes discussed. Frameworks are presented to provide practical guidance for enterprise leaders to understand and contextualize the nature of change re-shaping retail landscapes globally. Clear guidance is given of the capabilities, skills and perspectives needed at both an enterprise and personal leadership level to deliver success in the new landscape of retailing.

scholarly journals The Impact of Force Factors on the Benefits of Digital Transformation in Romania

2021 ◽  
Vol 11 (5) ◽  
pp. 2365
Author(s):  
Sorinel Căpușneanu ◽  
Dorel Mateș ◽  
Mirela Cătălina Tűrkeș ◽  
Cristian-Marian Barbu ◽  
Adela-Ioana Staraș ◽  
...  
Keyword(s):  
Perceived Risk ◽  
Industry 4.0 ◽  
Business Models ◽  
Structural Model ◽  
Digital Transformation ◽  
Sample Survey ◽  
Intention To Use ◽  
Online Questionnaire ◽  
Use Of Technology ◽  
The Impact

The digital transformation has produced changes in all existing areas of activity worldwide. There are many factors that can influence the intention to use Industry 4.0 processes and solutions and change the behavior of organizations and their business models. The aim of this study is to validate the econometric model on assessing the significant impact of distinct factors on the intention to use Industry 4.0 processes and solutions, the benefits of digital transformation perceived by organizational management and the differences between distinct groups analyzed. The research method used within the quantitative study was the sample survey, using the online questionnaire as a data collection tool. Three hundred forty-seven valid questionnaires were collected and the response rate of the respondents was 64.25%. A new structural model was generated based on the elements of the Unified Theory of Acceptance and Use of Technology (UTAUT). The results of the study indicated that Perceived competitiveness and Perceived risk have a significant impact on Intention to Use Industry 4.0 processes while Perceived vertical networking solutions and Perceived integrated engineering solutions have a significant influence on the Intention to Use Industry 4.0 solutions. In conclusion, there is a positive and significant association between Intention to Use Industry 4.0 solutions and Benefits of Digital Transformation.

Big Data and Sustainable Consumption: A Review and Research Agenda

2021 ◽  
pp. 097226292110225
Author(s):  
Shobhana Chandra ◽  
Sanjeev Verma
Keyword(s):  
Big Data ◽  
Consumer Behaviour ◽  
Business Models ◽  
Sustainable Consumption ◽  
Big Data Analytics ◽  
Consumption Behaviour ◽  
Consumer Experiences ◽  
Systematic Understanding ◽  
The Impact

Big data (BD) is making advances in promoting sustainable consumption behaviour and has attracted the attention of researchers worldwide. Despite the increased focus, the findings of studies on this topic are fragmented, and future researchers need a systematic understanding of the existing literature for identification of the research scope. This study offers a systematic review of the role of BD in promoting sustainable-consumption behaviour with the help of a bibliometric analysis, followed by a thematic analysis. The findings suggest that businesses deploy BD to create sustainable consumer experiences, predict consumer buying patterns, design and alter business models and create nudges for sustainable consumption, while consumers are forcing businesses to develop green operations and supply chains to reduce the latter’s carbon footprint. The major research gaps for future researchers are in the following areas: the impact of big data analytics (BDA) on consumerism, the role of BD in the formation of sustainable habits and consumer knowledge creation for sustainable consumption and prediction of green consumer behaviour.

scholarly journals Relationship lending and the use of trade credit: the role of relational capital and private information

2021 ◽  
Author(s):  
Pierluigi Murro ◽  
Valentina Peruzzi
Keyword(s):  
Private Information ◽  
Business Models ◽  
Trade Credit ◽  
Banking Regulation ◽  
Manufacturing Firms ◽  
Soft Information ◽  
Relational Capital ◽  
Relationship Lending ◽  
The Impact ◽  
Italian Manufacturing Firms

AbstractUsing a unique sample of Italian manufacturing firms, we investigate the impact of relationship lending on firms’ use of trade credit. We find that firms maintaining close and long-lasting relationships with their main banks are associated with higher amounts of trade credit extended by suppliers. This result is robust to alternative measures of trade credit and relationship lending, and to different estimation techniques. We also analyze the mechanisms driving the association between relationship lending and the use of trade credit. Regression results suggest that the positive link between accounts payable and relationship lending is especially significant for firms that use to provide soft information to their lenders and for companies with greater relational abilities.Plain English Summary The existence of close and long lasting lending relationships positively affects the amount of trade credit manufacturing firms receive from their suppliers. By relying on the Survey on Italian Manufacturing Firms, we show that the positive link between relationship lending and the use of trade credit is driven by two channels: private information and relational capital. In a policy perspective, our findings reveal a need for banking regulation and supervision to encompass banking business models in evaluating banks. The current approach might not be suitable for local banks investing in soft information acquisition and could weaken SMEs’ chances to receive both bank financing and trade credit from suppliers. Moreover, from a managerial point of view, our results uncover the relevance of firms’ ability to create strong relationships with banks, suppliers, and other companies that may help alleviating financial constraints.

Governance of differential stakeholder interests in supply chains and networks

2013 ◽  
Vol 13 (2) ◽  
pp. 99-105 ◽  
Author(s):  
E.F.M. Wubben ◽  
H.J. Bremmers ◽  
P.T.M. Ingenbleek ◽  
A.E.J. Wals
Keyword(s):  
Social Sciences ◽  
Business Models ◽  
Production Systems ◽  
Stakeholder Management ◽  
Data Gathering ◽  
Health Claims ◽  
Stakeholder Dialogue ◽  
Stakeholder Interests ◽  
Multi Stakeholder ◽  
The Impact

Competing frames and interests regarding food provision and resource allocation, adding to the increased global interdependencies, necessitate agri-food companies and institutions to engage themselves in very diverse multi-stakeholder settings. To develop new forms of interaction, and governance, researchers with very different backgrounds in social sciences try to align, or at least share, research trajectories. This first paper in a special issue on governance of differential stakeholder interests discusses, first, different usages of stakeholder categories, second, the related intersubjectivity in sciences, third, an rough sketch of the use of stakeholder management in different social sciences. Social science researchers study a wide variety of topics, such as individual stakeholder impact on new business models, stakeholder group responses to health claims, firm characteristics explaining multi-stakeholder dialogue, and the impact of multi-stakeholder dialogue on promoting production systems, and on environmental innovations. Interestingly, researchers use very different methods for data gathering and data analysis.

scholarly journals Assessing asset monitoring levels for maintenance operations

2015 ◽  
Vol 26 (5) ◽  
pp. 632-659 ◽  
Author(s):  
Abdullah A Alabdulkarim ◽  
Peter Ball ◽  
Ashutosh Tiwari
Keyword(s):  
Asset Management ◽  
Business Models ◽  
Discrete Event ◽  
Dynamic Modelling ◽  
Simulation Models ◽  
Content Type ◽  
Event Simulation ◽  
Product Service ◽  
Asset Monitoring ◽  
The Impact

Purpose – Asset management has recently gained significance due to emerging business models such as Product Service Systems where the sale of asset use, rather than the sale of the asset itself, is applied. This leaves the responsibility of the maintenance tasks to fall on the shoulders of the manufacturer/supplier to provide high asset availability. The use of asset monitoring assists in providing high availability but the level of monitoring and maintenance needs to be assessed for cost effectiveness. There is a lack of available tools and understanding of their value in assessing monitoring levels. The paper aims to discuss these issues. Design/methodology/approach – This research aims to develop a dynamic modelling approach using Discrete Event Simulation (DES) to assess such maintenance systems in order to provide a better understanding of the behaviour of complex maintenance operations. Interviews were conducted and literature was analysed to gather modelling requirements. Generic models were created, followed by simulation models, to examine how maintenance operation systems behave regarding different levels of asset monitoring. Findings – This research indicates that DES discerns varying levels of complexity of maintenance operations but that more sophisticated asset monitoring levels will not necessarily result in a higher asset performance. The paper shows that it is possible to assess the impact of monitoring levels as well as make other changes to system operation that may be more or less effective. Practical implications – The proposed tool supports the maintenance operations decision makers to select the appropriate asset monitoring level that suits their operational needs. Originality/value – A novel DES approach was developed to assess asset monitoring levels for maintenance operations. In applying this quantitative approach, it was demonstrated that higher asset monitoring levels do not necessarily result in higher asset availability. The work provides a means of evaluating the constraints in the system that an asset is part of rather than focusing on the asset in isolation.

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