scispace - formally typeset
Search or ask a question
Topic

Value proposition

About: Value proposition is a research topic. Over the lifetime, 3582 publications have been published within this topic receiving 88855 citations.


Papers
More filters
Journal Article
TL;DR: In this article, the authors explored the current state of knowledge about employer brand and identified the various employer brand building blocks which are conceptually integrated in a predictive model and found that employer brand is influenced by target group needs, a differentiated Employer Value Proposition (EVP), the people strategy, brand consistency, communication of the employer brand, and measurement of Human Resources (HR) employer branding efforts.
Abstract: Orientation : In an ever shrinking global talent pool organisations use employer brand to attract and retain talent, however, in the absence of theoretical pointers, many organisations are losing out on a powerful business tool by not developing or maintaining their employer brand correctly. Research purpose : This study explores the current state of knowledge about employer brand and identifies the various employer brand building blocks which are conceptually integrated in a predictive model. Motivation for the study : The need for scientific progress though the accurate representation of a set of employer brand phenomena and propositions, which can be empirically tested, motivated this study. Research design, approach and method : This study was nonempirical in approach and searched for linkages between theoretical concepts by making use of relevant contextual data. Theoretical propositions which explain the identified linkages were developed for purpose of further empirical research. Main findings : Key findings suggested that employer brand is influenced by target group needs, a differentiated Employer Value Proposition (EVP), the people strategy, brand consistency, communication of the employer brand and measurement of Human Resources (HR) employer branding efforts. Practical/managerial implications : The predictive model provides corporate leaders and their human resource functionaries a theoretical pointer relative to employer brand which could guide more effective talent attraction and retention decisions. Contribution/value-add : This study adds to the small base of research available on employer brand and contributes to both scientific progress as well as an improved practical understanding of factors which influence employer brand.

25 citations

Journal ArticleDOI
TL;DR: In this article, the authors introduce and discuss the term scalability from a company-level perspective, and illustrate how managers should be using this term for the benefit of their business by focusing on business models capable of achieving exponentially increasing returns to scale.
Abstract: The power of business models lies in their ability to visualize and clarify how firms’ may configure their value creation processes. Among the key aspects of business model thinking are a focus on what the customer values, how this value is best delivered to the customer and how strategic partners are leveraged in this value creation, delivery and realization exercise. Central to the mainstream understanding of business models is the value proposition towards the customer and the hypothesis generated is that if the firm delivers to the customer what he/she requires, then there is a good foundation for a long-term profitable business. However, the message conveyed in this article is that while providing a good value proposition may help the firm ‘get by’, the really successful businesses of today are those able to reach the sweet-spot of business model scalability. This article introduces and discusses the term scalability from a company-level perspective. It illustrates how managers should be using this term for the benefit of their business by focusing on business models capable of achieving exponentially increasing returns to scale.

25 citations

Journal ArticleDOI
TL;DR: The strategic imperatives of digital technology for the inclusive social health models for the BoP customers are highlighted to help health insurers in developing a convergence in their risk management and customer delight objectives and assist the government in the formulation of a sustainable social health insurance framework.
Abstract: Social health insurance framework of any country is the national identifier of the country’s policy for taking care of its population which cannot access or afford quality healthcare. The purpose of this paper is to highlight the strategic imperatives of digital technology for the inclusive social health models for the BoP customers.,A qualitative exploratory study using in-depth personal interviews with 53 Indian health insurance CXOs was conducted with a semi-structured questionnaire. Using MaxQDA software, the interview transcripts were analyzed by means of thematic content analysis technique and patterns identified based on the expert opinions.,A framework for the strategic imperatives of digital technology in social health insurance emerged from the study highlighting three key themes for technology implementation in the social health insurance sector – analytics for risk management, cost optimization for operations and enhancement of customer experience. The study results provide key insights about how insurers can enhance the coverage of BoP population by leveraging technology.,The framework would help health insurers and policymakers to select strategic choices related to technology that would enable creation of inclusive health insurance models for BoP customers.,The absence of specific studies highlighting the strategic digital imperatives in social health insurance creates a unique value proposition for this framework which can help health insurers in developing a convergence in their risk management and customer delight objectives and assist the government in the formulation of a sustainable social health insurance framework.

25 citations

Journal ArticleDOI
TL;DR: An integrated methodology to support the PSS design process into a Virtual Enterprise (VE) and the use case represents a valid example of how a product-oriented manufacturing company can open its strategic vision creating a PSS Virtual Enterprise in a structured way.

25 citations

Dissertation
01 Jan 2015
TL;DR: In this paper, the Responsive Systems Comparison (RSC) method combines multi-attribute trade-off with Epoch-Era Analysis to evaluate benefits, costs, and flexible options in complex systems over the mission lifecycle.
Abstract: The resources available for planetary science missions are finite and subject to some uncertainty. Despite decreasing costs of spacecraft components and launch services, the cost of space science missions is increasing, causing some missions to be canceled or delayed, and fewer science groups have the opportunity to achieve their goals due to budget limits. New methods in systems engineering have been developed to evaluate flexible systems and their sustained lifecycle value, but these methods are not yet employed by space agencies in the early stages of a mission's design. Previous studies of distributed satellite systems (DSS) showed that they are rarely competitive with monolithic systems; however, comparatively little research has focused on how DSS can be used to achieve new, fundamental space science goals that simply cannot be achieved with monolithic systems. The Responsive Systems Comparison (RSC) method combines Multi-Attribute Tradespace Exploration with Epoch-Era Analysis to examine benefits, costs, and flexible options in complex systems over the mission lifecycle. Modifications to the RSC method as it exists in previously published literature were made in order to more accurately characterize how value is derived from space science missions. A tiered structure in multi-attribute utility theory allows attributes of complex systems to be mentally compartmentalized by stakeholders and more explicitly shows synergy between complementary science goals. New metrics help rank designs by the value derived over their entire mission lifecycle and show more accurate cumulative value distributions. A complete list of the emergent capabilities of DSS was defined through the examination of the potential benefits of DSS as well as other science campaigns that leverage multiple assets to achieve their scientific goals. Three distinct categories consisting of seven total unique capabilities related to scientific data sampling and collection were identified and defined. The three broad categories are fundamentally unique, analytically unique, and operationally unique capabilities. This work uses RSC to examine four case studies of DSS missions that achieve new space science goals by leveraging these emergent capabilities. ExoplanetSat leverages shared sampling to conduct observations of necessary frequency and length to detect transiting exoplanets. HOBOCOP leverages simultaneous sampling and stacked sampling to study the Sun in far greater detail than any previous mission. AEGIR leverages census sampling and self-sampling to catalog asteroids for future ISRU and mining operations. GANGMIR leverages staged sampling with sacrifice sampling and stacked sampling to answer fundamental questions related to the future human exploration of Mars. In all four case studies, RSC showed how scientific value was gained that would. be impossible or unsatisfactory with monolithic systems. Information gained in these studies helped stakeholders more accurately understand the risks and opportunities that arise as a result of the added…

25 citations


Network Information
Related Topics (5)
Empirical research
51.3K papers, 1.9M citations
82% related
Job satisfaction
58K papers, 1.8M citations
81% related
The Internet
213.2K papers, 3.8M citations
81% related
Information system
107.5K papers, 1.8M citations
80% related
Entrepreneurship
71.7K papers, 1.7M citations
80% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023194
2022426
2021307
2020300
2019308