Search results

The expected growth of elders and chronically ill patients requires health insurers and health-care systems to shift from primarily focusing on the care of the sick to focusing both on care of the sick and on preventive health care. Public expectations for high-quality health care call for a new, more profound, and more actionable understanding of the healthy customer’s mind regarding health-promoting behaviors. Mind-Genomics may become the next big idea in health service. The relation between Mind-Genomics and data-driven personalized health plans is now being systematically explored. Some of the findings are reported in this research project.

Methodology: Respondents were 200 members of the Excellus American health fund. Based on measures of patient experience the authors created and tested concepts of messaging. The authors conducted a series of conjoint-based designed experiments to establish response patterns to our messaging. The authors analyzed data using Mind-Genomics, an empirical “micro-science” for discovering psychographic mind-sets and mapping motivating messages for healthy behaviors.

Results: The authors segmented patients by attitudes, perceptions, preferences, needs, and behaviors by their responses to messaging, thereby uncovering underlying psychographic mind-sets. The authors used the Personal Viewpoint Identifier to tag each person in the population by a sample mind-set and use the right messaging.

Discussion: To understand the mind of the patient regarding health plans, health funds may use the powerful tools of Mind-Genomics. Health insurers and health systems may implement Mind-Genomics as the next frontier of knowledge development to offer customized health plans, thus investing in preventive medicine.

The purpose of this paper is to develop a conceptual framework on the dimensions of dynamic marketing capability (DMC) and its relationship with export performance. The paper also proposes the mediating role of competitive hybrid strategy and the moderating role of environmental responsiveness in explaining the relationship between DMC and export performance.

By following the dynamic capability notion of the marketing and competitive strategy literature, this paper proposes a novel conceptualization of the DMC development process and the possible effect of DMC on attaining competitive advantage.

The paper postulates that a firm’s DMC can reflect complementary power when its higher-level marketing capabilities are bundled together to detect distributing channel members’ crucial needs, competitors’ action plans and satisfying market demand. As yet little is known about the main underlying dimensions of higher-level DMC construct, the paper contributes in proposing the key dimensions of DMC.

This research advances the knowledge-based view and resource-based views and evolves a solid foundation of DMC constructs comprising four higher-order marketing capabilities, namely, ambidextrous market orientation, customer relationship management capability, brand management capability and new product development capability. Thus, this paper contributes in DMC literature in explaining export performance.

This paper aims to propose an innovative method for deploying a personalized instructor-created software-aided assessment system, that will disrupt traditional learning environments by allowing students to confidentially and with indirect supervision from the instructor, assess their knowledge and ability to achieve the course outcomes.

Through empirical evaluation in real-world educational settings, the authors examine the impact of augmenting human activity in the classroom with an innovative software platform to transform the learning process.

Findings indicate that this software-aided assessment system effectively augments human interactivity by providing timely instructor-designed feedback to increase knowledge retention and skillsets.

This study has shown that incorporating disruptive innovation through the use of software-aided assessment systems increases the effectiveness of the faculty in the classroom and enhances student learning and retention. Thus, a transformative software-aided assessment system design that incorporates artificial intelligence into the learning pathway should be pursued. These software-aided assessments are disruptive innovation as they are formative, frequent and require little direct involvement from the instructor.

To the best of the authors’ knowledge, this study is the first of its kind to incorporate artificial intelligence into the assessment process by analyzing results of pilot programs at several universities. The results demonstrate how using software-aided transformative assessments in various courses have helped instructors assess students’ preparedness and track their learning progress. These software-aided systems are the first step in bringing disruptive innovation to the classroom as these software-aided assessment instruments rapidly assess learners’ knowledge and skills based on short, easily created, multiple-choice tests, with little direct engagement from the faculty.

The purpose of this study is to utilise market-oriented methodologies to determine key attributes driving consumers' preferences for novel sustainably sourced seafood concepts, derived from a species of wild-caught fish unfamiliar to consumers and to explore new product concepts for various consumer clusters.

This study applied a mixed-method approach including five focus groups with 40 consumers and a single conjoint-based questionnaire administered to 300 seafood consumers in Ireland. The focus groups explored in-depth consumers' expectations, requirements and preferences and identified the key attributes that would influence acceptance of new seafood products. Full-profile conjoint analysis was used to model consumers' preferences for novel seafood product concepts that utilised a sustainably sourced species unfamiliar to the consumer.

Focus groups revealed that the most important attributes were brand, price, format, packaging, supplementary information and accompaniment. The conjoint simulation identified three consumer clusters. Product concepts containing a sustainably sourced fish species were identified according to the preferences of each consumer cluster.

This research highlighted a sustainability angle in new product development and identified a competitive advantage and market potential for boarfish (Capros aper), which is an underutilised Irish fish species. It used a market-oriented approach to explore the development of novel sustainably sourced value-added seafood product concepts. The study results provide small and medium seafood companies with original and unique insights for developing novel sustainably sourced fish products that increase consumer acceptance.