The profit effects of product-market growth strategy: A financial services example

2003 ◽  
Vol 7 (3) ◽  
pp. 258-266 ◽  
Author(s):  
Larry P Pleshko ◽  
Nizar Souiden
Keyword(s):  
Financial Services ◽  
Product Market ◽  
Growth Strategy ◽  
Market Growth

APPLYING ANSOFF’S GROWTH STRATEGY MATRIX TO INNOVATION CLASSIFICATION

2018 ◽  
Vol 22 (04) ◽  
pp. 1850039
Author(s):  
TUGBA GURCAYLILAR-YENIDOGAN ◽  
SAFAK AKSOY
Keyword(s):  
Industrial Clusters ◽  
Performance Outcomes ◽  
Growth Strategy ◽  
Production Performance ◽  
Market Growth ◽  
Innovation Activities ◽  
Firm Innovativeness ◽  
Innovation Capacity ◽  
And Performance ◽  
Manage Innovation

This study aims to determine innovation capacity of a firm and to investigate the correlations between performance outcomes and innovation types. In this study, a questionnaire-based survey was conducted to classify firms with respect to different novelty degrees of innovation activities in developing new products and the magnitude of market impact shortly after innovations have been introduced and then appraise the association between innovation types and performance outcomes. The data obtained from the Turkish industrial clusters show that the higher firm innovativeness in product and market with a wide-spread diffusion effect of innovations, the greater is the market and production performance. To the best of our knowledge, this study is one of the few studies applying the product-market growth matrix to determine/manage innovation portfolio of firms.

Analysing and improving the strategic alignment of firms’ resource dynamics

2017 ◽  
Vol 18 (1) ◽  
pp. 217-240 ◽  
Author(s):  
Amir Zakery ◽  
Abbas Afrazeh ◽  
John Dumay
Keyword(s):  
Value Creation ◽  
Critical Role ◽  
Decision Rules ◽  
Growth Strategy ◽  
Management Problem ◽  
Insurance Company ◽  
Content Type ◽  
Market Growth ◽  
Causal Ambiguity ◽  
Resource Dynamics

Purpose The purpose of this paper is to shed light on improving value creation from intellectual capital (IC) through reducing causal ambiguity and finding effective IC interventions. Design/methodology/approach First, several guiding rules demonstrating the contribution of system dynamics (SD) to the field of IC management are introduced. Second, evidence for modelling resource dynamics is provided across a knowledge-based industry, insurance. Third, a management problem of an insurance company is modelled and then simulated using SD tools to monitor and improve the alignment of key resources with the firm’s market growth strategy. Findings The modelling and further simulation practice demonstrated the advantages of applying SD for analysing resource management problems to identify the critical IC components, intervention points and decision rules that may stimulate value-creating loops. Specifically for the case of an insurance company’s failure in market growth, it led to recognising the critical role of agency sales productivity as a key component of company’s relational capital and the intellectual liabilities that can lead to value destruction. Originality/value Reducing causal ambiguity in IC value creation through modelling and simulating firm resource dynamics is the main contribution of this paper. It enables finding the best intervention points for developing IC-based initiatives to stimulate value-creation mechanisms, as well identifying possible points of value destruction.

Virtual currency schemes – the future of financial services

foresight ◽  
2015 ◽  
Vol 17 (4) ◽  
pp. 365-377 ◽  
Author(s):  
Alicja Mikołajewicz-Woźniak ◽  
Anna Scheibe
Keyword(s):  
Financial Services ◽  
Service Sector ◽  
Environmental Changes ◽  
Virtual Currency ◽  
Content Type ◽  
Market Growth ◽  
Starting Point ◽  
The Future ◽  
The Impact

Purpose – The purpose of the paper is to determine the future role of virtual currencies. This paper indicates their pros and cons as alternatives to “real” money and explains their appearance as the reflection of the present trends. It also presents the possible scenarios of their development. Design/methodology/approach – The paper is based on the former foresight research results and literature review. It highlights the main trends in contemporary economy and their impact on financial services. The Bitcoin case is the starting point for the virtual currencies’ market analysis and construction of possible market changes scenarios. Findings – Virtual currency schemes are the reflection of present trends. They are just ahead of our times but may become a common means of payment, changing the way of providing financial services, eliminating intermediaries and marginalizing the role of financial institutions. Research limitations/implications – The multiplicity of virtual currencies and ceaseless introduction of innovations impede the presentation of the complete market picture. The lack of reliable statistical data makes the estimation of the market growth difficult. Practical implications – This paper indicates influence of technology development, virtualization and networking on payment systems’ functioning. Social implications – This paper shows the impact of environmental changes on consumers’ acceptance of virtual currencies. Originality/value – The virtual currency as a payment system is quite new and still a marginalized phenomenon. Nevertheless, the pace of virtual currency market growth after its recent introduction and appearance of Bitcoin successors seems to be the signs of future changes in financial service sector.

scholarly journals STRUKTUR INDUSTRI PERBANKAN SYARIAH DI INDONESIA

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Amir Machmud
Keyword(s):  
Financial Services ◽  
Concentration Ratio ◽  
Economies Of Scale ◽  
Banking Industry ◽  
Negative Relationship ◽  
Descriptive Study ◽  
Islamic Banking ◽  
Market Growth ◽  
Parametric Statistical Test ◽  
The Relationship

This study aims to analyze the structure of Islamic banking industry in Indonesia after the issuance of Law No. 21 of 2008 on Islamic Banking, including the factors that influence the structure industro through concentration ratio. The method used in this study was a descriptive study (descriptive study) and correlational studies, collecting data through observation techniques to data released by the Financial Services Authority and Bank Indonesia. The data that has been collected analyzed using the ratio of the concentration of 4 largest companies and non-parametric statistical test through Pearson product moment correlation to determine the relationship between variables that affect the concentration ratio. Based on the results of the study showed that the structure of the Islamic banking industry in Indonesia after Act No 21 of 2008 is included in the criteria but with a tight oligopoly involving Islamic Business Unit (UUS) and sharia rural banks (BPRS) included in the competition category is p. The structure of the industry has had a negative relationship with the share market, absolute capital and government policies, and have a positive relationship with the economies of scale and market growth.

Alliance portfolios and firms’ business strategy: a content analysis approach

2015 ◽  
Vol 38 (11) ◽  
pp. 1149-1171 ◽  
Author(s):  
Pedro Mota Veiga ◽  
Mário Franco
Keyword(s):  
Content Analysis ◽  
Strategic Alliances ◽  
Business Strategy ◽  
Theoretical Perspective ◽  
Product Market ◽  
Growth Strategy ◽  
Business Strategies ◽  
Analysis Approach ◽  
Alliance Portfolio ◽  
Content Type

Purpose – The purpose of this study is to understand in what way the business strategy of a firm operating on a global scale is linked to its alliance portfolio,from the product-market matrix of Ansoff (1957) and the resources-partners matrix of Yasuda and Iijima (2005). Design/methodology/approach – To meet this objective,the case study method was adopted,with data being obtained from interviews and documentary analysis of the selected firm/case: Borgstena Textile (BT). Findings – Based on a content analysis approach,it was possible to observe an alliance portfolio with advantages for BT and include those partnerships in the four quadrants referring to the nature of resources and partners defined by Yasuda and Iijima. In terms of growth strategy,BT simultaneously defined the typology of product-market strategies proposed by Ansoff,i.e. BT tries to use strategic alliances to execute specific business strategies. Practical implications – This research seeks to make a practical contribution,identifying the main association between the alliance portfolio and several specific firm strategies. This may allow better understanding of the composition of the alliance portfolio and,in this way,improve strategic management. This means that alliances should be managed as a whole and not in a dyadic way. Originality/value – This study is innovative because it seeks to make a contribution to the literature,from a theoretical perspective,by developing two matrixes by Ansoff (1957) and Yasuda and Iijima (2005). These frameworks allow us to analyze the relationship between alliance portfolio and business strategy.

Ideating a Recommender System for Business Growth Using Profit Pattern Mining and Uncertainty Theory

2019 ◽  
pp. 223-249
Author(s):  
Vivek Badhe ◽  
Satpal Singh ◽  
Terrence Shebuel Arvind
Keyword(s):  
Recommender System ◽  
Pattern Mining ◽  
Specific Pattern ◽  
Pattern Generation ◽  
Growth Strategy ◽  
Basic Rule ◽  
Business Growth ◽  
Market Growth ◽  
Knowledge Based ◽  
Promotional Strategies

Association rule mining (ARM) alone is a classical yet powerful method for basic rule discovery. However, generic measures being used are insufficient for specific pattern generation and rules of business interest. Critical decision making is a “key” component in contemporary businesses which could be rewarded by periodically utilizing patterns and rules to steer business growth and profit as well. To effectuate self-propelled growth in businesses, a feasible optimal recommender system needs to be accomplished without human intervention that recommends targeted product marketing and promotional strategies. In conjunction to ARM, uncertainty is a growing challenge in data mining research with facets of being probabilistic, fuzzy, or vague. Among many set theories to surmount uncertainty, vague set theory is employed for handling vagueness in data which gives the motivation of implementing a knowledge-based recommender framework by aggregating the two approaches to predict uncertain market growth strategy patterns and profitable rules.

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