Employer Value Proposition

2016 ◽  
Vol 7 (4) ◽  
pp. 15-32 ◽  
Author(s):  
Salila Kumar Pattnaik ◽  
Rajnish Kumar Misra
Keyword(s):  
Information Technology ◽  
Reliability And Validity ◽  
Global Market ◽  
Future Research ◽  
Value Proposition ◽  
Research Directions ◽  
Structure Reliability ◽  
Systematic Effort ◽  
Future Research Directions ◽  
Information Technology Companies

In a competitive global market, organizations are striving to retain the best talent by providing sustainable employer value proposition (EVP); ‘value proposition' employees perceive or expect from their employer. Although EVP is conceptually appealing, there has been little systematic effort to empirically examine the dimensions of EVP. Information technology companies are adopting strategies to provide proposition that attract and retain employees. This paper identifies the attributes of EVP from the perspective of employees working in Information Technology companies in India. A scale is developed and validated to measure EVP on a sample size of 474. EVP scale was tested for its factor structure, reliability and validity. The results indicated that EVP scale comprised of five attributes; developmental value, inspirational value, work environment value, work value, and work life balance. The finding of the research is discussed; limitations noted; recommendations for enhancing EVP in IT companies, and future research directions.

Employer Value Proposition

2017 ◽  
pp. 454-473
Author(s):  
Salila Kumar Pattnaik ◽  
Rajnish Kumar Misra
Keyword(s):  
Information Technology ◽  
Work Environment ◽  
Reliability And Validity ◽  
Global Market ◽  
Future Research ◽  
Value Proposition ◽  
Structure Reliability ◽  
Systematic Effort ◽  
Future Research Directions ◽  
Information Technology Companies

In a competitive global market, organizations are striving to retain the best talent by providing sustainable employer value proposition (EVP); ‘value proposition' employees perceive or expect from their employer. Although EVP is conceptually appealing, there has been little systematic effort to empirically examine the dimensions of EVP. Information technology companies are adopting strategies to provide proposition that attract and retain employees. This paper identifies the attributes of EVP from the perspective of employees working in Information Technology companies in India. A scale is developed and validated to measure EVP on a sample size of 474. EVP scale was tested for its factor structure, reliability and validity. The results indicated that EVP scale comprised of five attributes; developmental value, inspirational value, work environment value, work value, and work life balance. The finding of the research is discussed; limitations noted; recommendations for enhancing EVP in IT companies, and future research directions.

Effects of Information Technology on Business Performance and the Use of Accounting Measures

2015 ◽  
pp. 285-294
Author(s):  
Jorge A. Romero
Keyword(s):  
Information Technology ◽  
Firm Performance ◽  
Business Performance ◽  
Future Research ◽  
Research Directions ◽  
It Investments ◽  
Positive Effects ◽  
Different Types ◽  
Future Research Directions ◽  
Area Of Study

The understanding of the link between Information Technology (IT) investments and firm performance is still not completely understood in spite of numerous studies. However, these studies are not united in how they examine the effects of IT on business performance. They differ in their criteria, methodologies, and samples. Therefore, while there are positive effects associated with IT on firm performance, it is still difficult to reach overarching conclusions and highlight that there is still a need for further research. Specifically, this chapter contributes to this area of study by discussing the different types of benefits that firms can get from IT investments, examining the use of accounting variables to quantify the effect of IT, and providing future research directions.

Information Technology Outsourcing Risk Factors and Provider Selection

2017 ◽  
pp. 214-228
Author(s):  
Salim Lahmiri
Keyword(s):  
Risk Factors ◽  
Information Technology ◽  
Future Research ◽  
Business Managers ◽  
Research Directions ◽  
Utility Of Information ◽  
Future Research Directions ◽  
Information Technology Outsourcing

Information technology outsourcing has become a major issue in business and received a large attention from both business managers and scholars. Indeed, it helps a business company to reduce it costs and to maintain its competitiveness. The purpose of this chapter is to introduce the utility of information technology outsourcing for the enterprise and to review some recent works in outsourcing risk factors identification and provider selection. Finally, drawbacks of information technology outsourcing will be presented along with future research directions.

Marketing Orientation Embedding Internet Capability as Best Practice for Medium-Sized Global Firms

2019 ◽  
pp. 111-135
Author(s):  
Maria Giovanna Tongiani ◽  
Claudia Burchielli
Keyword(s):  
Best Practice ◽  
Global Market ◽  
Future Research ◽  
Research Directions ◽  
Marketing Orientation ◽  
The Social ◽  
Marketing Activities ◽  
Future Research Directions ◽  
Different Characteristics ◽  
The Web

Contemporary competition in the distribution sector is becoming increasingly more cut-throat and consumers have multiple channels to choose from for making their purchases, each with different characteristics and practical methods. The objective of this work is to obtain information and identify the elements that allow for highlighting the ability of the medium-sized retailers who use the web and the social media to expand their own reference markets. The information will be acquired by means of interviews with Italian and international (USA and UK) customers of a medium Italian global fashion retailer. The analyses of the results will provide useful indications concerning the marketing activities for the medium retailer firms operating in the global market. This approach is followed by future research directions and a conclusion.

Comparing Residents’ and Tourists’ Emotional Solidarity with One Another

2010 ◽  
Vol 50 (6) ◽  
pp. 615-626 ◽  
Author(s):  
Kyle M. Woosnam
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Reliability And Validity ◽  
Future Research ◽  
Factor Scores ◽  
Research Directions ◽  
Emotional Closeness ◽  
Confirmatory Factor ◽  
Future Research Directions ◽  
Emotional Solidarity

This study is the first of its kind to examine residents’ and tourists’ degree of emotional solidarity experienced with one another in a destination—Galveston County, Texas. Two main purposes for this study are (1) to confirm the factor structure of the emotional solidarity scale for both residents and tourists while assessing psychometric properties of reliability and validity and (2) to compare residents’ and tourists’ emotional solidarity (based on resulting factors from confirmatory factor analysis) with one another. Ultimately, the scale produced the same factors (i.e., welcoming nature, emotional closeness, and sympathetic understanding) as in previous studies while exhibiting sound psychometric properties. Significant differences in mean factor scores were found for the factors welcoming nature and emotional closeness across residents and tourists. Implications, limitations, and future research directions are provided.

scholarly journals Artificial Intelligence-Based Method to Improve Tourism with the Help of Android Studio

2021 ◽  
Vol 10 (6) ◽  
pp. 50-53
Author(s):  
Anusha . ◽  
Poorva Agrawal ◽  
Gagandeep Kaur
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Computer Science ◽  
Mobile Application ◽  
New Technology ◽  
Future Research ◽  
Human Intelligence ◽  
Research Directions ◽  
Research Areas ◽  
Future Research Directions

Artificial intelligence is a new technology in the field of computer science and information technology. Artificial intelligence techniques are very useful and also applied in many businesses. There are many research areas and opportunities in the field of Artificial intelligence. Artificial intelligence refers to the simulation of human intelligence in machines. Artificial intelligence allows app developers to achieve better mobile application experiences and also helps to improve personalized selections for users. This paper explores the different areas of the artificial intelligence-based system in tourism. This paper presents important future research directions.

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