Partner selection in co-opetition: a three step model

2015 ◽  
Vol 17 (1) ◽  
pp. 23-35 ◽  
Author(s):  
João Alves ◽  
Raquel Meneses
Keyword(s):  
Selection Process ◽  
Partner Selection ◽  
Decision Makers ◽  
Personal Relationships ◽  
Structured Interviews ◽  
Content Type ◽  
Step Model ◽  
Sample Range ◽  
Selection For ◽  
Related Process

Purpose – This paper aims to contribute towards a better understanding of the partner selection process, which anticipates a successful co-opetition partnership. Co-opetition partnerships refer to developing cooperation efforts between competitors. The scarcity of studies conducted in this field to date provides limited contribution for the understanding of the partner selection process in this, particularly, paradoxical concept. Design/methodology/approach – This study follows a methodology based on systematic combining for the qualitative analysis of four cases of domestic co-opetition in Portugal. A sample range of eight companies was selected for a series of semi-structured interviews. Testimonials were transcribed and data coded for content analysis. Findings – Results indicate that prior personal relationships between decision-makers are facilitators for the implementation of cooperation partnerships with competitors. Based on these findings, this paper proposes a three-step model to explain the process of partner selection for co-opetition partnerships. According to this model, after opting to commence a new coopetitive business alliance, the manager undergoes a first unconscious selection based on his/her own prior personal relationships, followed by a conscious and judicious selection based on specific criteria related to partner’s operational skills, resources, effectiveness and trust. Research limitations/implications – Given that the sample is entirely formed by companies from one single country, further research would benefit from the inclusion of other countries expressing different business contexts and cultural environments. Originality/value – The value of paper derives from the comprehensive realization of partner selection for domestic co-opetition as fundamentally a network-related process.

scholarly journals Sustainable partner selection for collaborative networked organisations with risk consideration in the context of COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yvonne Badulescu ◽  
Ari-Pekka Hameri ◽  
Naoufel Cheikhrouhou
Keyword(s):  
Selection Process ◽  
Fuzzy Ahp ◽  
Partner Selection ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Solution Approach ◽  
Novel Approach ◽  
Force Majeure ◽  
The Face ◽  
Selection For

Purpose Collaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to present a multi-criteria decision-making method for sustainable partner selection based on the three sustainability pillars and risk. Design/methodology/approach A combined analytic hierarchy process (AHP) and fuzzy AHP (F-AHP) with Technique for Order of Preference by Similarity to Ideal Solution approach is the methodology used to evaluate and rank potential partners based on known conditions and predicted conditions at a future time based on uncertainty to support sustainable partner selection. Findings It is integral to include risk criteria as an addition to the three sustainability pillars: economic, environmental and social, to build a robust and sustainable CNO. One must combine the AHP and F-AHP weightings to ensure the most appropriate sustainable partner selection for the current as well as predicted future period. Research limitations/implications The approach proposed in this paper is intended to support existing CNO, as well as individual firms wanting to create a CNO, to build a more robust and sustainable partner selection process in the context of a force majeure such as COVID-19. Originality/value This paper presents a novel approach to the partner selection process for a sustainable CNO under current known conditions and future uncertain conditions, highlighting the risk of a force majeure occurring such as COVID-19.

The franchise partner selection process and implications for India

2009 ◽  
Vol 1 (1) ◽  
pp. 52-65 ◽  
Author(s):  
Tushar Vaishnav ◽  
Levent Altinay
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Partner Selection ◽  
Careful Consideration ◽  
Vice Presidents ◽  
Structured Interviews ◽  
Content Type ◽  
Selection Dynamics ◽  
Hotel Chains ◽  
Decision Making Criteria

PurposeThe purpose of this paper is to provide insights on the franchise partner recruitment process and decision‐making criteria used to select partners. It aims to investigate the process and parameters considered by franchisees in selecting potential international hotel organizations as partners. The success of such choices influences growth of the firms and consequently affecting industry and economy.Design/methodology/approachIn‐depth semi‐structured interviews with owners, directors, vice presidents and mangers of the franchisee organizations were deployed.FindingsFindings suggest that partner selection is a multidimensional activity involving several key stages. Indian franchisees use profitability, brand name, operations support as decision‐making criteria while selecting their partners.Practical implicationsDifferences occur at various stages of partner selection. A proper understanding of partner selection dynamics and careful consideration of criteria's like culture, organizational values, pricing, experience, etc. would result in a better building of relationship.Originality/valueThe paper highlights the complexity of the process and the decision‐making criteria from a franchisee's perspective. From a practical perspective, it could be of value to future and existing international hotel chains using franchising as a mode of expansion.

ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustafa Said Yurtyapan ◽  
Erdal Aydemir
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Selection Process ◽  
Intuitionistic Fuzzy Set ◽  
Decision Makers ◽  
Software Selection ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Expert Opinions ◽  
Erp Software

PurposeEnterprise Resource Planning (ERP) software which is a knowledge-based design on the interconnective communication of business units and information share, ensures that business processes such as finance, production, purchasing, sales, logistics and human resources, are integrated and gathered under one roof. This integrated system allows the company to make fast and accurate decisions and increases its competitiveness. Therefore, for an enterprise, choosing the suitable ERP software is extremely important. The aim of this study is to present new research on the ERP software selection process by clarifying the uncertainties and find suitable software in a computational way.Design/methodology/approachERP selection problem design includes uncertainties on the expert opinions and the criteria values using intuitionistic fuzzy set theory and interval grey-numbers to MACBETH multi criteria decision making method. In this paper, a new interval grey MACBETH method approach is proposed, and the degree of greyness approach is used for clarifying the uncertainties. Using this new approach in which grey numbers are used, it is aimed to observe the changes in the importance of the alternatives. Moreover, the intuitionistic fuzzy set method is applied by considering the importance of expert opinions separately.FindingsThe proposed method is based on quantitative decision making derived from qualitative judgments. The results given under uncertain conditions are compared with the results obtained under crisp conditions of the same methods. With the qualitative levels of experts reflected in the decision process, it is clearly seen that ERP software selection problem area has more effective alternative decision solutions to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during ERP software selection process.Originality/valueThis study contributes to the relevant literature by (1) utilizing the MACBETH method in the selection of the ERP software by optimization, and (2) validating the importance of expert opinions with uncertainties on a proper ERP software selection procedure. So, the findings of this study can help the decision-makers to evaluate the ERP selection in uncertain conditions.

scholarly journals Analysis of Multi-Criteria Evaluation Method of Landfill Site Selection for Municipal Solid Waste Management

2018 ◽  
Vol 34 ◽  
pp. 02010 ◽  
Author(s):  
Habiba Ibrahim Mohammed ◽  
Zulkepli Majid ◽  
Norhakim Bin Yusof ◽  
Yamusa Bello Yamusa
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Site Selection ◽  
Solid Waste Management ◽  
Selection Process ◽  
Landfill Site ◽  
Decision Makers ◽  
Landfill Site Selection ◽  
Multi Criteria Evaluation ◽  
Selection For

Landfilling remains the most common systematic technique of solid waste disposal in most of the developed and developing countries. Finding a suitable site for landfill is a very challenging task. Landfill site selection process aims to provide suitable areas that will protect the environment and public health from pollution and hazards. Therefore, various factors such as environmental, physical, socio-economic, and geological criteria must be considered before siting any landfill. This makes the site selection process vigorous and tedious because it involves the processing of large amount of spatial data, rules and regulations from different agencies and also policy from decision makers. This allows the incorporation of conflicting objectives and decision maker preferences into spatial decision models. This paper particularly analyzes the multi-criteria evaluation (MCE) method of landfill site selection for solid waste management by means of literature reviews and surveys. The study will help the decision makers and waste management authorities to choose the most effective method when considering landfill site selection.

scholarly journals Construction of capital procurement decision making model to optimize supplier selection using Fuzzy Delphi and AHP-DEMATEL

2018 ◽  
Vol 25 (5) ◽  
pp. 1528-1547 ◽  
Author(s):  
Anil Kumar ◽  
Amit Pal ◽  
Ashwani Vohra ◽  
Sachin Gupta ◽  
Suryakant Manchanda ◽  
...  
Keyword(s):  
Decision Making ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Strategic Decision ◽  
Extensive Literature ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Selection For ◽  
Decision Making Model

Purpose Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken systematically with the utmost transparency. The purpose of this paper is to construct capital procurement decision-making model to optimize supplier selection in the Indian automobile industry. Design/methodology/approach To achieve the stated objective, a combined approach of fuzzy theory and AHP-DEMATEL is applied. Evaluation parameters are identified through an extensive literature review and criteria validation has been introduced through a Fuzzy Delphi method by using fuzzy linguistic scales to handle the vagueness of information. AHP is employed to find the priority weight of criteria, although an inter-relationship map among criteria is not possible through AHP alone since it considers all criteria as independent. To overcome this, DEMATEL is used to establish cause-effect relationships among criteria. Findings The results show that the total cost of ownership (TOC) is the first weighted criterion in supplier selection for capital procurement, followed by manufacturing flexibility and maintainability, then conformity with requirement. The cause-effect model shows that supplier profile, TOC, service support and conformity with requirement are in the cause group and are considered to be the most critical factors in selecting the supplier. Originality/value The study’s outcome can help the automobile industry to optimize their selection process in selecting their suppliers for capital procurement; the proposed model can provide guidelines and direction in this regard.

Implementation and normalization process of asynchronous video interviewing practices in the hospitality industry

2018 ◽  
Vol 30 (2) ◽  
pp. 685-701 ◽  
Author(s):  
Cynthia Mejia ◽  
Edwin N. Torres
Keyword(s):  
Hospitality Industry ◽  
Selection Process ◽  
New Technology ◽  
Implementation Process ◽  
Structured Interviews ◽  
Research Attention ◽  
Content Type ◽  
Recruitment And Selection ◽  
The Impact ◽  
Normalization Process

Purpose Asynchronous video interviews (AVIs) enable recruiters and job candidates to conduct and review employment interviews at different points in time, promising improved cost and time efficiencies for all users. This research aims to investigate the implementation and normalization process of AVI in the hospitality industry with the unified theory of acceptance and use of technology (UTAUT) and the normalization process theory (NPT) providing theoretical support. Design/methodology/approach Semi-structured interviews have been conducted with hiring managers from three different hospitality companies, which were in different stages of the implementation process. The data have been recorded, transcribed and coded according to the UTAUT and NPT constructs, revealing emergent themes. Findings Five overarching themes emerged: AVI effort and efficiency expectation; augmentation to the interview process; challenges for the applicant; challenges for the recruiter; and issues with applicant interviewing aesthetics. Additional coding and analysis with NPT identified the following in terms of evaluation of the implementation process: participants’ implementation activities showed a tendency to emanate from cognitive participation (relationship work), leading to coherence (sense-making work), followed by collective action (enactment of work/operational work) and finally reflexive monitoring (appraisal work). Practical implications Findings from this research include recommendations for the best practices integrating AVI into the hospitality employee selection process. Originality/value Given the increased demands on the recruitment and selection of talent in the hospitality industry, several organizations have turned to mechanized HR software platforms. The impact of interview modalities and particularly AVI has received limited research attention, thus this study expanded this new stream of literature. Furthermore, this research is among a nascent stream using NPT to evaluate the implementation and normalization of this new technology.

An exploratory study of the injured worker’s experience and relationship with the workplace return to work coordinator in NSW, Australia

2019 ◽  
Vol 12 (2) ◽  
pp. 57-70
Author(s):  
Joanna Bohatko-Naismith ◽  
Carole James ◽  
Maya Guest ◽  
Darren Anthony Rivett ◽  
Samantha Ashby
Keyword(s):  
Return To Work ◽  
Selection Process ◽  
Careful Consideration ◽  
Injured Workers ◽  
Work Experiences ◽  
Structured Interviews ◽  
Work Process ◽  
High Turnover ◽  
Content Type ◽  
Insight Into

Purpose The purpose of this paper is to provide insight into the injured worker’s perspective of experiences with their workplace return to work coordinator (RTWC), and explore some of the barriers they encountered in the return to work process. Design/methodology/approach Semi-structured interviews were conducted with ten injured workers from New South Wales, Australia. The thematic analysis of transcripts was completed. Findings The findings provide an insight into the experiences of injured workers and their relationship with RTWCs. Five key themes emerged from the data: return to work experiences and the RTWC role, high turnover and lack of consistency in the role, RTWC “ideal”, knowledge and skills, communication skills and the RTWC role and GP visits privacy and conflict of interest with peer RTWCs. Practical implications The role of the workplace RTWC in the return to work process for injured workers is important and these findings are highly relevant to the return to work sector. Consistency within the role at the workplace and careful consideration of the specific traits and characteristics required by an individual to perform the role need to be observed during the selection process by employers when appointing a workplace RTWC to assist injured workers return to work. Originality/value This is the first Australian study to examine the injured workers views and experiences with the workplace RTWC and other factors that shape the return to work process.

Can we trust AI? An empirical investigation of trust requirements and guide to successful AI adoption

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrick Bedué ◽  
Albrecht Fritzsche
Keyword(s):  
Design Methodology ◽  
Empirical Investigation ◽  
Decision Makers ◽  
Trust Building ◽  
Structured Interviews ◽  
Content Type ◽  
Building Trust ◽  
New Directions ◽  
Standards And Guidelines ◽  
Access To Knowledge

Purpose Artificial intelligence (AI) fosters economic growth and opens up new directions for innovation. However, the diffusion of AI proceeds very slowly and falls behind, especially in comparison to other technologies. An important path leading to better adoption rates identified is trust-building. Particular requirements for trust and their relevance for AI adoption are currently insufficiently addressed.Design/methodology/approachTo close this gap, the authors follow a qualitative approach, drawing on the extended valence framework by assessing semi-structured interviews with experts from various companies.FindingsThe authors contribute to research by finding several subcategories for the three main trust dimensions ability, integrity and benevolence, thereby revealing fundamental differences for building trust in AI compared to more traditional technologies. In particular, the authors find access to knowledge, transparency, explainability, certification, as well as self-imposed standards and guidelines to be important factors that increase overall trust in AI.Originality/valueThe results show how the valence framework needs to be elaborated to become applicable to the AI context and provide further structural orientation to better understand AI adoption intentions. This may help decision-makers to identify further requirements or strategies to increase overall trust in their AI products, creating competitive and operational advantage.

Organizational experience of social media: impacts on competitive intelligence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Diogo Carvalho ◽  
Winnie Picoto ◽  
Peter Busch
Keyword(s):  
Social Media ◽  
Organizational Context ◽  
Decision Makers ◽  
Competitive Intelligence ◽  
Structured Interviews ◽  
Content Type ◽  
Fortune 1000 ◽  
University Professor ◽  
Potential Impact ◽  
The Individual

Purpose The paper aims to clarify the potential impact of data gathered from social media (SM) in the competitive intelligence (CI) process of organizations. As use of SM expands, analysis of this data becomes a critical business need providing essential support for decision makers. This paper seeks to examine how SM be used to enhance CI in an organizational context. Design/methodology/approach This paper adopted an exploratory mixed-method approach followed by a sequential and equal status design, with qualitative semi-structured interviews, accounting for the qualitative study and serving as precursor to a quantitative structured survey. Interviewees included a university professor and CI consultant, an SM analyst and a subject in a management position – all in the field of CI. A survey was sent to Fortune 1000 companies. Some 227 companies replied. Findings The findings were that the majority of respondents produce CI reports at least monthly, and that information transmitted mainly by presentation within organizations. Over 70% of companies outsource CI activities to specialized firms, while 80.9% of organizations felt CI improved their relationship with their customers. Not surprisingly, as the number of people dedicated to CI activities increased, the likelihood of an organization hiring outside companies specializing in CI diminished. Research limitations/implications All organizations sampled were large US companies; thus, small- and medium-sized enterprises were excluded, as were non-US viewpoints. As survey respondents were anonymous, the source of data at the level of the individual is missing. Finally, only three interviewees provided the qualitative data. Practical implications This investigation determined organizations should have an established and well-structured CI department. Furthermore, such a department should have between five and ten employees to maximize the potential. Outsourcing depends on the company’s specific needs. Nevertheless, regardless of whether it outsources CI activities or not, each firm should monitor SM to enhance the CI process. Originality/value Much SM-based CI is either non-existent or in “embryotic” stages in most companies, and therefore still a work in progress. Furthermore, as SM is a relatively new phenomenon, studies supporting its implementation are scarce. Companies stand to gain significant improvements to CI if SM is effectively used.

A computing metaphor approach to customer experience based alliance partner recommendation

Kybernetes ◽  
2015 ◽  
Vol 44 (10) ◽  
pp. 1504-1522 ◽  
Author(s):  
Soe Tsyr Yuan ◽  
Pei Hung Hsieh ◽  
Yu-Chen Yeh
Keyword(s):  
Selection Process ◽  
Partner Selection ◽  
Customer Experience ◽  
Content Type ◽  
Service Value ◽  
Alliance Partner ◽  
Novel Approach ◽  
Functional Aspects ◽  
Innovative Thinking ◽  
Alliance Partners

Purpose – In the service economy era, service value is created from the evaluation of customer experience and it is important to study alliance partner selection for improving service provision. Nevertheless, most of the existing alliance partner selection approaches concentrate on the functional aspects. The purpose of this paper is to provide a novel approach that is customer-centric and emphasizes the emotional aspect of service value. Design/methodology/approach – This paper presents a metaphor-based alliance partner recommendation mechanism (MAPRM) that employs the computing metaphor approach to recommend alliance partners for companies in an innovative way. The main ideas of metaphors are the comparison made between two unlike things that actually have something in common so as to attain innovative thinking. Findings – This study uses the scenario of regional tourism innovation to demonstrate the attempted contributions of MAPRM. The simulation evaluation results show that MAPRM can utilize knowledge and resources from companies to achieve specific alliance goals of satisfying desired customer experiences represented by images that can be analyzed and created based on customers’ feedback and their interactions with companies. Originality/value – MAPRM aims to assist companies to find appropriate alliance partners which offer potential innovation opportunities for service value provision. It is capable of facilitating the alliance partner selection process and assessing customers’ needs at the same time.

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