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1 – 10 of over 39000
Article
Publication date: 24 June 2022

Zhao-ge Liu, Xiang-yang Li and Li-min Qiao

Process mining tools can help discover and improve the business processes of urban community services from historical service event records. However, for the community service…

Abstract

Purpose

Process mining tools can help discover and improve the business processes of urban community services from historical service event records. However, for the community service domains with small datasets, the effects of process mining are generally limited due to process incompleteness and data noise. In this paper, a cross-domain knowledge transfer method is proposed to help service process discovery with small datasets by making use of rich knowledge in similar domains with large datasets.

Design/methodology/approach

First, ontology modeling is used to reduce the effects of cross-domain semantic ambiguity on knowledge transfer. Second, association rules (of the activities in the service processes) are extracted with Bayesian network. Third, applicable association rules are retrieved using an applicability assignment function. Further, the retrieved association rules in domains with large datasets are mapped to those with a small dataset using a linear programming method, with a heuristic miner being adopted to generate the process model.

Findings

The proposed method is verified based on the empirical data of 10 service domains from Beidaihe, China. Results show that process discovery performance of all 10 domains were improved with the overall robustness score, precision, recall and F1 score increased by 13%, 13%, 17% and 15%, respectively. For the domains with only small datasets, the cross-domain knowledge transfer method outperforms popular state-of-the art methods.

Originality/value

The limitations of sample sizes are greatly reduced. This scheme can be followed to establish business process management systems of community services with reasonable performance and limited sample sizes.

Details

Business Process Management Journal, vol. 28 no. 4
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 1 March 2013

Steffen Korsgaard

The purpose of this paper is to review the recent critique of the discovery view of opportunities and by implication the current state of the so‐called creation view of

1711

Abstract

Purpose

The purpose of this paper is to review the recent critique of the discovery view of opportunities and by implication the current state of the so‐called creation view of opportunities.

Design/methodology/approach

A systematic review of articles published from 2000‐2010 which feature a critique of the discovery view of opportunities. The review uses an open coding approach to identify central themes in the critique. Four central themes are identified, and from within‐theme patterns three distinct groups within the literature are identified.

Findings

The four themes suggest that the discovery view is incomplete, that social and relational interactions are more pervading and important than the discovery view suggests, that opportunities are created and that the role of individuality and subjectivity needs to be emphasized more. Three distinct groups within the literature are identified, each presenting different critiques of the discovery view, theoretical foci and implications for method and practice. Furthermore, the discussion suggests that the opportunity concept is a focal point for important debates in the entrepreneurship field, that the creation view is diverse and should not be referred to in the singular and that seeking reconciliation between the discovery and creation views is a problematic strategy. Finally, it is suggested that a continued dialog exploring differences both between the discovery and creation views as well as between the creation views is a fruitful strategy for the development of the field.

Originality/value

The article presents a review of both the critique of the discovery view and the so‐called creation view, thereby supplementing and advancing from existing reviews of the opportunity concept in entrepreneurship. This furthers our understanding of the role of opportunities in entrepreneurial processes.

Details

International Journal of Entrepreneurial Behavior & Research, vol. 19 no. 2
Type: Research Article
ISSN: 1355-2554

Keywords

Book part
Publication date: 12 September 2003

Per Davidsson

There is progress in entrepreneurship research. Important works in entrepreneurship increasingly appear in highly respected, mainstream journals (see Busenitz et al., 2003;…

Abstract

There is progress in entrepreneurship research. Important works in entrepreneurship increasingly appear in highly respected, mainstream journals (see Busenitz et al., 2003; Davidsson, Low & Wright, 2001). There is conceptual development that attracts attention (e.g. Shane & Venkataraman, 2000) and handbooks are compiled, providing the field with more of a common body of knowledge (Acs & Audretsch, 2003a; Shane, 2000a; Westhead & Wright, 2000). Further, there is evidence of methodological improvements (Chandler & Lyon, 2001) and accumulation of meaningful findings on various levels of analysis (Davidsson & Wiklund, 2001). Moreover, due to time lags in publication the reported improvements are likely to be underestimated. This author’s experience as organizer, reviewer and participant in core entrepreneurship conferences on both sides of the Atlantic (e.g. Babson; RENT) suggests that much of the lower end of the quality distribution has either disappeared from the submissions or is screened out in the review process. Much more than used to be the case a few years back we find among the presented papers research that is truly theory-driven; research on the earliest stages of business development, and research that employs methods suitable for causal inference, i.e. experiments and longitudinal designs.

Details

Cognitive Approaches to Entrepreneurship Research
Type: Book
ISBN: 978-1-84950-236-8

Article
Publication date: 1 June 2021

Arash Heidari and Nima Jafari Navimipour

The main goal of this paper is to study the cloud service discovery mechanisms. In this paper, the discovery mechanisms are ranked in three major classes: centralized…

Abstract

Purpose

The main goal of this paper is to study the cloud service discovery mechanisms. In this paper, the discovery mechanisms are ranked in three major classes: centralized, decentralized, and hybrid. Moreover, in this classification, the peer-to-peer (P2P) and agent-based mechanisms are considered the parts of the decentralized mechanism. This paper investigates the main improvements in these three main categories and outlines new challenges. Moreover, the other goals are analyzing the current challenges in a range of problem areas related to cloud discovery mechanisms and summarizing the discussed service discovery techniques.

Design/methodology/approach

Systematic literature review (SLR) is utilized to detect, evaluate and combine findings from related investigations. The SLR consists of two key stages in this paper: question formalization and article selection processes. The latter includes three steps: automated search, article selection and analysis of publication. These investigations solved one or more service discovery research issues and performed a general study of an experimental examination on cloud service discovery challenges.

Findings

In this paper, a parametric comparison of the discovery methods is suggested. It also demonstrates future directions and research opportunities for cloud service discovery. This survey will help researchers understand the advances made in cloud service discovery directly. Furthermore, the performed evaluations have shown that some criteria such as security, robustness and reliability attained low attention in the previous studies. The results also showed that the number of cloud service discovery–related articles rose significantly in 2020.

Research limitations/implications

This research aimed to be comprehensive, but there were some constraints. The limitations that the authors have faced in this article are divided into three parts. Articles in which service discovery was not the primary purpose and their title did not include the related terms to cloud service discovery were also removed. Also, non-English articles and conference papers have not been reviewed. Besides, the local articles have not been considered.

Practical implications

One of the most critical cloud computing topics is finding appropriate services depending on consumer demand in real-world scenarios. Effective discovery, finding and selection of relevant services are necessary to gain the best efficiency. Practitioners can thus readily understand various perspectives relevant to cloud service discovery mechanisms. This paper's findings will also benefit academicians and provide insights into future study areas in this field. Besides, the drawbacks and benefits of the analyzed mechanisms have been analyzed, which causes the development of more efficient and practical mechanisms for service discovery in cloud environments in the future.

Originality/value

This survey will assist academics and practical professionals directly in their understanding of developments in service discovery mechanisms. It is a unique paper investigating the current and important cloud discovery methods based on a logical categorization to the best of the authors’ knowledge.

Details

Kybernetes, vol. 51 no. 3
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 20 February 2009

Yanto Chandra, Chris Styles and Ian Wilkinson

This paper aims to complement existing theories of internationalization by studying an important aspect which has been neglected in previous studies: the process of international…

6485

Abstract

Purpose

This paper aims to complement existing theories of internationalization by studying an important aspect which has been neglected in previous studies: the process of international entrepreneurial opportunity recognition. International market entry is conceptualized as an entrepreneurial, innovative act; and opportunity recognition consists of both discovery as well as deliberate and systematic search.

Design/methodology/approach

The methodology employed involves eight case studies of small and medium‐sized enterprises (SMEs) operating in knowledge‐based industries in Australia. The unit of analysis is the “opportunity‐firm” nexus.

Findings

The paper finds that firms with little or no prior international knowledge tend to make use of opportunity discovery rather than deliberate/systematic search. In contrast, firms with extensive prior international experience and knowledge were found to deliberately search and discover their first international opportunity. International opportunity discovery did not occur simply through serendipitous encounters with new information from networks or referrals but involved interpreting possible matches between pre‐existing means (resources, skills, new technologies) and new ends (international markets) in a problem solving process. It favours those with the requisite prior knowledge and entrepreneurial orientation.

Practical implications

The paper offers guidelines on what business practitioners and export promotion agencies can and cannot do to influence opportunity recognition process. Particular attention was paid to strategies to avoid costly deliberate search among resource‐stricken SMEs.

Originality/value

This study introduces Knightian uncertainty and Kirznerian discovery as the conceptual cornerstones of internationalization that can help account for the lack of incrementalism and optimizing logic in internationalization among smaller firms.

Details

International Marketing Review, vol. 26 no. 1
Type: Research Article
ISSN: 0265-1335

Keywords

Article
Publication date: 7 October 2014

Dominique Foray

The purpose of this paper is to focus on the distinction between smart specialisation and smart specialisation policy and it studies under what conditions a smart specialisation…

2884

Abstract

Purpose

The purpose of this paper is to focus on the distinction between smart specialisation and smart specialisation policy and it studies under what conditions a smart specialisation policy is necessary.

Design/methodology/approach

A conceptual framework is built based on historical evidence of successful dynamics of structural changes at regional level qualified as “smart specialisation”. The identification of market and coordination failures that are likely to impede the occurrence of spontaneous process of smart specialisation makes a good case for a smart specialisation policy.

Findings

The paper highlights important design principles for the policy process that should help to minimise potential risks of policy failures and policy capture.

Research limitations/implications

The paper does assess the effect of smart specialisation on innovation and growth at regional level because it is too early to observe and measure effects. The paper confines itself to conjectures about the effects of such a policy.

Practical implications

The paper makes recommendations and explains some of the practicalities about the implementation of the policy at regional level.

Originality/value

The paper is one of the first dealing with the topic of smart specialisation policy.

Details

European Journal of Innovation Management, vol. 17 no. 4
Type: Research Article
ISSN: 1460-1060

Keywords

Open Access
Article
Publication date: 26 June 2023

Samuel Kenneth Zachary Knowles and Beyza Klein

To better understand the reality of living with the diseases and conditions that its drugs and therapies are developed to treat, the Novartis leadership determined a need for more…

2647

Abstract

Purpose

To better understand the reality of living with the diseases and conditions that its drugs and therapies are developed to treat, the Novartis leadership determined a need for more meaningful insights into patients’ lives. They sought to develop a systematic, creative methodology – informed by the psychology of insightful rather than analytical thinking – to properly integrate and deploy the research commissioned into its day-to-day business decision-making. For it is well established that better understanding of the patient reality drives both compliance and adherence “beyond the pill”. The purpose of this paper is to bring the novel methodology of creativity to a wider audience and ensure that many others – notably in patient advocacy organizations – can benefit from this approach.

Design/methodology/approach

A core team of Insight and Analytics and Patient Engagement leads from various therapeutic area teams worked in partnership with a psychologist and practitioner in the field of insightful thinking, to develop an effective methodology that could reliably surface and articulate genuine patient insights. This methodology – the i4i Insights Discoveryprocess – was developed, piloted, refined and codified in 2020 and implemented across the company in 2021–2022. It uses a combination of convergent and divergent thinking techniques – human rather than artificial intelligence, combining diverse research outputs – to understand patients’ lives better. With enhanced understanding, the insights then shape educational and behavioral strategies to drive adherence and compliance.

Findings

At a time of tightening budgets and demands to deliver enhanced impact from research budgets, i4i Insights Discovery™ has enabled Novartis teams to turn existing research outputs into profound and useful understandings of what it means to live with specific diseases and develop evidence-based patient engagement strategies; insight-driven decision-making around the lifecycle of any compound. i4i Insights Discovery™ has been applied across Novartis’s diverse areas of expertise, from heart disease to cancer, from organ transplantation to dermatology, from food allergy to ophthalmology.

Practical implications

The i4i Insights Discoveryprocess enables Novartis teams to gain deeper understanding of patients’ lives without the need to commission additional research; to do more with less. These insights enable cross-functional Novartis teams to develop better-informed strategies that better address the needs of patients and their care partners, of health-care professionals and health-care systems. The team creating the process is looking to make the i4i Insights Discovery™ approach a gold standard of insight discovery, both for pharma and health care and in other categories, too.

Originality/value

The i4i Insights Discoveryprocess is a practical, novel application of well-established principles in the psychology of insightful thinking to address a clear business imperative. By repurposing and reinterpreting existing research outputs using creative verbal and visual exercises, it delivers a more human and empathetic understanding of the patient reality. It moves teams from “So what?” – this is what the data mean – to “Now what?” – this is what we should do as a result.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. 17 no. 3
Type: Research Article
ISSN: 1750-6123

Keywords

Article
Publication date: 16 October 2018

Anna Kalenkova, Andrea Burattin, Massimiliano de Leoni, Wil van der Aalst and Alessandro Sperduti

The purpose of this paper is to demonstrate that process mining techniques can help to discover process models from event logs, using conventional high-level process modeling…

1016

Abstract

Purpose

The purpose of this paper is to demonstrate that process mining techniques can help to discover process models from event logs, using conventional high-level process modeling languages, such as Business Process Model and Notation (BPMN), leveraging their representational bias.

Design/methodology/approach

The integrated discovery approach presented in this work is aimed to mine: control, data and resource perspectives within one process diagram, and, if possible, construct a hierarchy of subprocesses improving the model readability. The proposed approach is defined as a sequence of steps, performed to discover a model, containing various perspectives and presenting a holistic view of a process. This approach was implemented within an open-source process mining framework called ProM and proved its applicability for the analysis of real-life event logs.

Findings

This paper shows that the proposed integrated approach can be applied to real-life event logs of information systems from different domains. The multi-perspective process diagrams obtained within the approach are of good quality and better than models discovered using a technique that does not consider hierarchy. Moreover, due to the decomposition methods applied, the proposed approach can deal with large event logs, which cannot be handled by methods that do not use decomposition.

Originality/value

The paper consolidates various process mining techniques, which were never integrated before and presents a novel approach for the discovery of multi-perspective hierarchical BPMN models. This approach bridges the gap between well-known process mining techniques and a wide range of BPMN-complaint tools.

Details

Business Process Management Journal, vol. 25 no. 5
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 11 October 2021

Manogna R.L. and Aswini Kumar Mishra

Market efficiency leads to transparent and fair price discovery of commodity markets, thus enhancing the value chain for competitive benefit. The purpose of this paper is to…

Abstract

Purpose

Market efficiency leads to transparent and fair price discovery of commodity markets, thus enhancing the value chain for competitive benefit. The purpose of this paper is to investigate the market efficiency of Indian agricultural commodities at spot, futures and mandi markets apart from exploring price risk management in these markets.

Design/methodology/approach

This study uses Johansen co-integration, vector error correction model and granger causality for analyzing market efficiency of the nine most liquid agricultural commodities across three markets, namely, spot, futures and mandi. All these nine commodities are traded on National Commodity and Derivatives Exchange.

Findings

The statistical results indicate price discovery exists in the mandi market and spot market leading to futures prices. Mandi price returns are seen to negatively influence futures returns in the case of cotton seed, guar seed and spot returns in the case of jeera, coriander and chana. For castor seed, the three markets are seen to have no long run relationship. The results of Granger causality reveal short run relationship between all the three markets in the case of soybean seed and coriander. In these commodities, prices in all three markets are capable of predicting the prices in the other markets. For the case of cottonseed, Rape Mustard seed, jeera, guar seed, the results indicate unidirectional causality between the mandi markets and the other two markets.

Research limitations/implications

These results shall facilitate policymakers to explore intervention through integrated agri-platform (IAP) in price discovery and market efficiency.

Practical implications

The results of this study are useful in understanding the price discovery of mandi markets and its role in the spot and futures market. Agricultural commodities price discovery depends upon the integration of all these three markets. Introduction of IAP as described in the paper shall facilitate price risk management apart from improving the efficiency of price discovery.

Originality/value

To the best of the knowledge, this is the first study considering mandi, spot and futures prices in the price discovery process in India. In addition, this study found the role of mandi markets in serving the economic function of price discovery and price risk management. Hence, suggests for policy intervention for Indian agricultural commodities to manage price risk.

Open Access
Article
Publication date: 24 May 2021

A.N. Vijayakumar

Transparent and fair price discovery is essential to commodity market participants in the trade value chain for competitive benefit. The purpose of this paper is to investigate…

2521

Abstract

Purpose

Transparent and fair price discovery is essential to commodity market participants in the trade value chain for competitive benefit. The purpose of this paper is to investigate the price discovery of Indian cardamom at e-auction, spot and futures markets in addition to the existence of the day of the week effect at e-auction apart from exploring a novel price risk management framework.

Design/methodology/approach

This study used Johansen co-integration, vector error correction model, Granger causality and regression with dummy variables to understand a day of the week effect in high-value agri-commodity of cardamom e-auction prices. These price data were based on authenticated sources of Spices Board India and Multi Commodity Exchange of India Ltd.

Findings

The statistical results indicate price discovery exists in the e-auction market and it leads to spot and futures prices. cardamom e-auction prices are negatively related to cardamom futures and positively related to spot prices. It also finds the non-existence of the day of the week effect in the high-value cardamom e-auction system in India. The study revealed that a cardamom e-auction is more active in price discovery than a cardamom futures contract.

Research limitations/implications

These results shall facilitate policymakers to explore intervention of online forward market mechanism at the national level to ensure price discovery and market efficiency. However, the study did not explore reasons for the non-equilibrium of a cardamom futures contract with spot and e-auction market.

Practical implications

The results of this study are useful in understanding the price discovery of cardamom e-auction and its role in the spot and futures market. Cardamom price discovery depends upon the e-auction system; any change of auction policy shall be binding on Indian cardamom prices. The introduction of an online forward market mechanism as described in the paper shall facilitate price risk management apart from improving the efficiency of price discovery.

Originality/value

This is the first study considering cardamom e-auction, spot and futures prices in the price discovery process in India. Statistical results of a day of the week effect clearly show no significant volatility of cardamom prices during the week. Besides, this study did not find the role of cardamom futures contracts intended to serve the economic function of price discovery and price risk management. Hence, suggests policy intervention for implementing an online Forward Market mechanism for Indian cardamom to ensure market efficiency and manage price risk.

Details

Vilakshan - XIMB Journal of Management, vol. 19 no. 1
Type: Research Article
ISSN: 0973-1954

Keywords

1 – 10 of over 39000