Impact of CRM adoption on organizational performance: Moderating role of technological turbulence

Purpose Customer relationship management (CRM) is instrumental to attain and sustain organizational competitive advantage. Innovation in terms of CRM adoption is the key to gain competitive advantage, and being innovative is dependent on how well organizations know about changing demands of customers and their changing ways to gain access to the market. There is hence a need to develop ongoing empirical insights from diverse management perspectives into the effect of CRM adoption on organizational performance. In this context, the purpose of this study is to develop empirical insights in relation to the moderation of technological turbulence in the banking sector. Design/methodology/approach Primary data were collected and analyzed from 277 CRM staff-members of the banking sector in Pakistan to test a conceptual model. Frequencies of demographics are calculated with correlation and regression analyses using SPSS. The correlation analysis was performed to identify the direction that exists between the dependent and independent variables, and the regression analysis was performed to study the strength/intensity of the independent variable over the dependent variable. Moderating regression analysis was performed to find the moderation effect of technological turbulence on CRM adoption and organizational performance. Findings The CRM adoption has a critical positive impact on organizational performance in the settings of business-to-customer (B2C) perspective in the banking sector. Moreover, the results uncover that improved client satisfaction through CRM adoption prompts better organizational performance in the B2C organization. The authors also have found that technological turbulence has a negative guiding impact on the association linking with CRM adoption, as well as organizational performance. Research limitations/implications The conceptual model that is proposed in this study and supported by empirical insights offers researchers to develop future research studies on the moderating role of technological turbulence to analyze the influence of CRM adoption on organizational performance. Practical implications The empirical insights of this study are valuable for the professionals in the banking sector and other B2C organizations to enrich their organizational performance through CRM adoption while considering the moderating role of technological turbulence. Originality/value Based on an empirical study, in support of an original conceptual model, the insights of this paper contribute to the extant literature in the CRM, bank marketing and management, service management, B2C marketing and the emerging economy knowledge streams

Political Competitiveness

Political competitiveness – which many interpret as the degree of democracy – can be modeled as a monopolistic competition. All regimes are constrained by the threat of "entry," and thereby seek some combination of popular support and political entry barriers. This simple model predicts that many public policies are unrelated to political competitiveness, and that even unchallenged nondemocratic regimes should tax far short of their Laffer curve maximum. Economic sanctions, odious debt repudiation, and other policies designed to punish dictators can have the unintended consequences of increasing oppression and discouraging competition. Since entry barriers are a form of increasing returns, democratic countries (defined according to low entry barriers) are more likely to subdivide and nondemocratic countries are more likely to merge. These and other predictions are consistent with previous empirical findings on comparative public finance, election contests, international conflict, the size of nations, and the Lipset hypothesis. As in the private sector, the number of competitors is not necessarily a good indicator of public sector competitiveness.

Impact Of The Manufacturing Sector On The Export Competitiveness Of European Countries – A Spatial Panel Analysis

The purpose of this paper is to determine how changes in the export competitiveness of the EU economy (measured by exports and net exports) depend on changes in the competitiveness of processing industries, on the basis of manufacturing data from 19 EU countries over years 1995-2009 and using a spatial panel data model. The determinants of export competitiveness are selected in the light of predictions from international trade theory, growth theory and the theory of innovation. In particular, the paper explores how the size of foreign demand, the value of domestic demand, the level of ULC in the sector, the degree of openness of the sector to foreign markets, labour productivity and intermediate consumption in a sector affect the export competitiveness of the European economies selected. The results from spatial data models lead to a conclusion about the statistical significance of spatial dependencies in export competitiveness modelling. The analysis indicates the different determinants of export competitiveness, both if it is measured by export value and if it measured by net exports. The authors hope that the results will be a voice in the discussion on enhancing the competitiveness of European industrial sector

Measuring Competitiveness

This paper reviews alternative approaches to measuring an economy’s cost competitiveness and proposes some new measures inspired by the economic theory of index numbers. The indices provide a theoretical benchmark for estimated real effective exchange rates, but differ from standard measures in that they are based on marginal rather than average sectoral shares in GDP or employment. The use of the new indices is illustrated by some simple calculations which highlight the potential exposure of the Irish economy to fluctuations in the euro-sterling exchange rate.

Demographic change and regional competitiveness: The effects of immigration and ageing

The demographic profile of a region is usually seen as a slowly changing background phenomenon in the analysis of regional competitiveness and regional growth. However, regional demographic change can have a significant impact on regional competitiveness and such change is often more rapid and profound than at the national level. In turn, regional population size, growth, composition and distribution are endogenous to regional economic development. This paper focuses on the impact of population ageing and immigration on aspects of regional competitiveness such as innovation, entrepreneurship and productivity. Immigration and ageing trends have generated huge separate literatures but it is argued here that it is fruitful to consider these trends jointly. Theoretically, there are many channels through which immigration and population ageing can affect regional competitiveness. There is empirical evidence that population ageing reduces regional competitiveness, while immigration – particularly of entrepreneurs and highly skilled workers to metropolitan areas – enhances competitiveness. Much of the available literature is based on smallscale case studies and rigorous econometric research on the impact of demographic change at the regional level is still remarkably rare. Some directions for further research are suggested

Determinants of tourism destination competitiveness in the countries most visited by international tourists: Proposal of a synthetic index

Tourism destination competitiveness is a multidimensional concept that is widely studied in the academic literature, but multiple factors make its measurement a difficult task. In this article, we design a synthetic index to rank the 80 countries that attract the majority of international tourists by level of tourism competitiveness. In order to do this, we use all of the simple variables included in the 2017 Travel & Tourism Competitiveness Index, proposing a new methodology for the construction of this synthetic index, which it solves the problems of aggregation of variables expressed in different measures, arbitrary weighting and duplicity of information; issues that remain unresolved by the TTCI. Likewise, we analyse the most influential dimensions in tourism competitiveness. Air transport infrastructures, cultural resources and ICT readiness are the key dimensions that explain the main disparities.Funding Agency Spanish Ministry of Economy, Industry and Competitiveness State Research Agency (SRA) European Union (EU) ECO2017-86822-Rinfo:eu-repo/semantics/publishedVersio

Salary cuts and competitiveness

There is a prevalent view outside Greece that promotion of competitiveness is tantamount with price reductions for Greek goods and services. Massive horizontal salary cuts appear, at first, to promote competitiveness by reducing unit labor costs and to reduce fiscal deficits by reducing the wage bill of the public sector. Upon closer look, however, horizontal salary cuts have been much greater than needed for Greek competitiveness, providing an alibi vis a vis the Troika for reforms that are still to be implemented, but at the same time undermining both competitiveness and the potential to reduce public debt through sustainable development

The Scientific Competitiveness of Nations

We use citation data of scientific articles produced by individual nations in different scientific domains to determine the structure and efficiency of national research systems. We characterize the scientific fitness of each nation (that is, the competitiveness of its research system) and the complexity of each scientific domain by means of a non-linear iterative algorithm able to assess quantitatively the advantage of scientific diversification. We find that technological leading nations, beyond having the largest production of scientific papers and the largest number of citations, do not specialize in a few scientific domains. Rather, they diversify as much as possible their research system. On the other side, less developed nations are competitive only in scientific domains where also many other nations are present. Diversification thus represents the key element that correlates with scientific and technological competitiveness. A remarkable implication of this structure of the scientific competition is that the scientific domains playing the role of "markers" of national scientific competitiveness are those not necessarily of high technological requirements, but rather addressing the most "sophisticated" needs of the society

Innovative competitiveness of russian regions

The article analyses the competitive challenges of Russian regional economies and proposes ways of selecting competitive priorities. The author assumes that selection of priorities for improving a region’s innovative competitiveness should involve not only its innovative R&D potential but also the effects that innovative and socio-economic development of the regions have on each other. This is because a region’s innovative competitiveness manifests itself in both its ability to create innovation and its increased resistance based on such innovation, and, therefore, it is closely related to its industrial and technological type from the outset. The analysis of research and innovative potentials of Russian regions shows that their innovative competitiveness has been deteriorating largely for the reason that modern Russia lacks any significant groups of political influence whose interests would be closely related to the development of the engineering industry, high technologies, and restoration of a sound industrial structure. The article shows mutual dependence between the socially required level of support to the regions’ innovative competitiveness and the innovation requirements of the industries with prevailing levels of technological efficiency. The author proposes a methodological approach to the selection of priorities for increasing the innovative competitiveness of Russian regions. Such priorities should take into account maintenance and enhancement of the research and innovative potentials of the country, on the one hand, and the need to improve regions’ sustainability, on the other hand. With the contemporary statistic base in mind, the author has created an integrated development priority index for regional innovation centers intended to increase the resistance of the manufacturers with various research intensity levels. The article rates Russian regions according to the technological complexity (high, mid, low, resource-extracting) required by the innovation centers to be created taking metallurgy as an example. The author suggests ways to increase the innovative competitiveness of Russian regions of various industrial and technological types. The article is intended for experts in theoretical and practical management of innovation.The article has been prepared with the support of the Russian Humanitarian Science Foundation, Project 14-02-00331 "Region’s Innovative and Technological Development: Assessment, Projections, and Ways of Progressing.

STATE � OF � ART OF INDIAN COMPETITIVENESS

Competitiveness makes or mars performance of firms, industries, nations in the current hyper competitive global market. India is one of the fastest growing economies of the world in recent years. One after another study, is projecting that India would be a leading economy in 21st century. This research work is an attempt to study the competitiveness of India. It looks at both macro and micro aspects. To have a macro perspective, it studies the performance of Indian economy in two prominent indices of competitiveness. India has improved its rankings in the competitiveness indices. To have a micro perspective, it undertakes a literature review on the subject in Indian context. The findings are mixed and the firms, industry and the country need to put in efforts for improving its competitiveness. The findings are mixed on the impact of liberalisation on competitiveness. It identifies government level issues and firm level issues for competitiveness.India, competitiveness, liberalization, globalization, global competitiveness