Business Process Management Journal最新文献

Purpose

The aim of this paper is to improve the understanding of strategies for how established companies can respond to disruptive innovation, handle increasing complexity, facilitate entrepreneurial culture and processes and successfully manage organizational ambidexterity.

Design/methodology/approach

A qualitative multiple-case study was conducted to explore successful practices of innovation ambidexterity (IA) and their organizational design, entrepreneurial culture and mindset, processes and leadership. Two internationally established firms that have launched and established IA programs provided deep insight, revealing their strategy and learning on the path toward effective IA.

Findings

The findings show that accepting and managing the inherent complexity increases within an ambidextrous organization strategy is a decisive factor in achieving effective IA. As a result, segmenting small organizational units and granting them extensive autonomy is proposed for managing the complexity of an organization while increasing its effectiveness. Furthermore, it is shown that this helps foster entrepreneurial culture, mindsets and processes as additional mediators for achieving effective IA. Coaching, empowerment and trust were identified as key factors of ambidextrous leadership values that encourage entrepreneurial behavior and decision-making.

Originality/value

To the best of the authors knowledge the first study connecting the research fields of complexity management, organizational ambidexterity theory and entrepreneurial culture while applying the fundamentals of systems theory to propose a practical management framework for successfully responding to disruptive innovation.

Purpose

The textile industry is a labor-intensive industry in which where innovation-oriented studies are conducted intensively. However, identifying potential innovation gaps for a firm operating in the textile industry is not easy and greatly influences the firm's future success. To this end, this study aims to propose a novel integrated approach for the pre-assessment of the firm-level innovation process.

Design/methodology/approach

The proposed approach uses two important tools: the technology capability audit tool and innovation audit tool. The proposed approach integrates these tools to discover possible innovation opportunities for firms. The proposed approach is called the innovation gap finder model (IGFM).

Findings

A real case study in the textile industry is conducted to show how IGFM works in practice. The results of this study show that decision-makers can easily identify existing innovation gaps using IGFM.

Originality/value

Firms must first identify innovation gaps in order to initiate achievable projects in line with their current situation. Addressing a firm-level pre-assessment of the textile innovation process helps achieve growth and enables the firm to know what it should do in the near future. By identifying innovation gaps by considering the innovation processes at the firm level, it is also easier to prepare an action plan on what and how to do in accordance with the firm's own culture. There is no specific tool developed to discover potential innovation gaps in the literature. To fill this gap, a novel integrated approach is proposed for a pre-assessment of firm level innovation process in this study. The proposed approach can also accelerate the establishment of the “idea-invention-innovation” path within the firm.

Purpose

Aritificial intelligence (AI)-focused enterprises purpose to provide value-creating and differentiated products and services using innovative technologies. For this reason, it is aimed to examine the effects of value creation, intellectual property and organizational creativity variables to make evaluations to increase the success of such enterprises.

Design/methodology/approach

Random sampling method was used in the research. The population of the research consists of AI-oriented enterprises in technoparks. On the specified days, short-term visits and surveys were conducted face-to-face. Name and similar personal information was not taken in the research and participation was made on a voluntary basis. A sample size of 500 units is a sufficient size at the 0.05 significance level. SmartPLS (4.0.8.4) licensed software was used in the research.

Findings

As a result of the collected data, it has been supported by hypotheses that value creation, intellectual property and organizational creativity have positive effects so that artificial intelligence-oriented enterprises can be successful in performance criteria.

Research limitations/implications

Since the research was conducted by collecting data from artificial intelligence-oriented enterprises in technoparks in Istanbul, it would not be correct to evaluate the analysis results by making generalizations. For this reason, it is recommended that similar studies planned to be conducted in the future should contribute to the literature by developing the research model, taking into account the limited situation in the sample.

Practical implications

According to the results of the analysis of the effects of value creation, intellectual property and organizational creativity in artificial intelligence-oriented enterprises, in order to increase the success of such enterprises, they should offer more value to their customers, protect their technologies and increase their innovation capacity.

Originality/value

Value creation, intellectual property, and organizational creativity in AI-focused enterprises are important topics in a rapidly growing industry such as AI-focused enterprises. Therefore, a research investigating these variables together offers a different perspective than previous studies.

Purpose

The authors propose a blockchain platform for managing clinical trial data to enhance data validity, integrity, trust and transparency in the pharmaceutical research process. The authors also provide an extensive review of how blockchain technology supports the business processes of clinical trials.

Design/methodology/approach

A systematic literature review was conducted to identify the existing applications of blockchain in pharmaceutical process management. A conceptual design for a blockchain infrastructure to address clinical trial challenges is developed by outlining the entire clinical trial value chain and identifying the coordination and communication among its stakeholders. A stakeholder analysis is conducted to ensure that the clinical trial processes satisfy the requirements and preferences of each stakeholder.

Findings

The proposed blockchain platform offers a promising solution for enhancing integrity, trust and transparency in the clinical trial process. Additionally, blockchain can help streamline communication and collaboration between stakeholders by enabling multiple parties to access and share data in real time, lowering the possibility of delays or errors in data analysis and reporting.

Practical implications

The proposed blockchain platform can benefit patients by empowering them to have better-controlled access to their data and by allowing researchers to maintain adherence to reporting requirements. Additionally, the platform can benefit granting agencies, researchers and decision-makers by ensuring the integrity of clinical trial data and streamlining communication and collaboration between stakeholders.

Originality/value

This study builds on existing blockchain applications in pharmaceutical process management by developing a blockchain framework that can address clinical trial concerns from an integrated perspective.

Purpose

The purpose of this paper is to design a consortium-blockchain based framework for cross-organizational business process mining complying with privacy requirements.

Design/methodology/approach

Business process modeling in a cross-organizational setting is complicated due to privacy concerns. The process mining in this situation occurs through trusted third parties (TTPs). It uses a special class of Petri-nets called workflow nets (WF-nets) to represent the formal specifications of event logs in a blockchain-enabled cross-organization.

Findings

Using a smart contract algorithm, the proposed framework discovers the organization-specific business process models (BPM) without a TTP. The discovered BPMs are formally represented using WF-nets with a message factor to support the authors’ claim. Finally, the applicability and suitability of the proposed framework is demonstrated using a case study of multimodal transportation.

Originality/value

The proposed framework complies with privacy requirements. It shows how to represent the formal specifications of event logs in a blockchain using a special class of Petri-nets called WF-nets. It also presents a smart contract algorithm to discover organization-specific business process models (BPM) without a TTP.

Purpose

This study investigates the role of knowledge collecting and donating in enhancing relationship proneness and intimacy and improving a bank's salesperson satisfaction and performance.

Design/methodology/approach

Using the snowball technique, 315 online questionnaires were collected from commercial banks. A total of 300 useable questionnaires were included for further analysis.

Findings

The findings demonstrated that knowledge collecting affects relationship proneness and salesperson performance, while knowledge donating affects relationship proneness but not satisfaction. The results also suggested that relationship proneness is responsible for salesperson intimacy. Furthermore, intimacy was found to affect salesperson performance and satisfaction. Finally, salesperson satisfaction was found to affect salesperson performance positively.

Practical implications

The findings help bankers understand and utilize the power of their knowledge management in improving their sales performance and developing suitable training and strategies to strengthen salesperson intimacy.

Originality/value

This study incorporated knowledge management, relationship proneness and intimacy to enhance a better understanding of how these indicators will affect the salesperson's satisfaction and performance.