International Journal of Social Sciences and Economic Review <table style="border-style: dotted;"> <tbody> <tr> <td style="width: 100%;"> <p><strong>International Journal of Social Sciences and Economic review (IJSSER) (</strong>Online ISSN:<a href="tel:2706-9346">2706-9346</a>) is a double-blind peer-reviewed quarterly journal that encourages the latest research on the social sciences, and economics globally. The journal aims to publish quality research and provide access to international libraries to promote the original content in the field of social sciences and economics. IJSSER is a non-profit, academic journal that accepts the high quality theoretical or empirical works throughout the world that contribute genuine knowledge and research in the fields of social sciences and economics. <br /><strong><em>IJSSER is an Open Access Journal</em>.</strong> So, readers can access it freely.</p> <p><a href="">Make a Submission</a> <a href="">Authors Guidelines</a> <a href="">Journal Template</a></p> </td> </tr> </tbody> </table> en-US International Journal of Social Sciences and Economic Review 2706-9346 <p>IJSSER is open access journal under the terms of the <a href="">Creative Commons Attribution-ShareAlike 4.0</a> which permits unrestricted use, distribution, and reproduction. All the published materials in IJSSER are free of charge. Researchers and authors can download the published article in IJSSER and allow them to read, copy, distribute, submit to their institution’s library, and any other repositories without the remix. As well as, they are must distribute the material under the same license as original published material.</p> <p><strong>Open Access Policy</strong></p> <p>IJSSER has an open access policy to its content to make the research freely available, easy to access, and support to the global exchange knowledge under the terms of the <a href="">Creative Commons Attribution-ShareAlike 4.0</a> . Researchers and academicians are allowed to download, copy, print, and access the link for the full text of the published material without any charges. </p> Examining the Links Leading to Behavioral Support for Change: An Expectancy Theory Perspective <p><strong>Purpose of the study</strong>: An individual’s support for change is a critical factor in successfully and effectively implementing change. Therefore, identifying possible antecedents and mechanisms leading to one’s behavioral support for change is necessary. The study aims to unpack this avenue of research empirically by examining the role of both person and context as factors in promoting behavioral support for change.</p> <div id="app" class=" nav-padding-login-search"><header class="mb-0 mb-lg-0 fixed-top"> <p style="margin-left: 0.0cm;"><strong>Methodology:</strong> Data was collected from 292 academic staff members of six public sector universities in Pakistan via cross-sectional means. A self-reported questionnaire was used to collect responses from the desired sample. SPSS 25 and AMOS were used to analyze the data for its relevance to the objectives of the study. </p> <p style="margin-left: 0.0cm;"><strong>Main Findings:</strong> Results revealed a positive impact of change-efficacy on academic staff members’ behavioral support for change. Moreover, change-valence provides an effective intervening mechanism to translate the effect of change-efficacy on both dimensions of behavioral support for change, that is, compliance and championing behavior.</p> <p style="margin-left: 0.0cm;"><strong>Research limitations/implications:</strong> The study contributes to the existing literature on organizational change, particularly in the university setting, by examining and empirically validating the factors of both person and context as significant predictors of behavioral support for change among academic staff. However, more research is needed in other organizational and work contexts to further apply the study’s implications within these diverse contexts.</p> <p style="margin-left: 0.0cm;"><strong>Novelty/Originality of this study</strong>: The study offers useful insights for senior university officials intending to build support for change by enhancing academic staff levels of efficacy and positive expectations regarding such change and enables them to successfully execute the change-related tasks into viable actions.</p> </header></div> Farhan Mehboob Noraini Othman Copyright (c) 2020 2020-12-06 2020-12-06 1 08 10.36923/ijsser.v2i4.78 Construction of an Industry Cycle Indicator for Profitability Prediction Analysis of Aggregate Firms in Bangladesh <p><strong>Purpose of this study: </strong>In the aggregate industrial sector, government intervention to influence demand within the economy is generally counterproductive, while the optimal policy is to concentrate on supply-side reforms that help the economy become efficient. The objective of this study was to construct a unique industry cycle indicator for Bangladeshi aggregate firms within this industrial sector. The specific objectives were to assemble a unique industry cycle indicator which recommends early signals of a firm’s industrial vulnerability, identify industry cycle indicator turning points and evaluate the predictive performance of the industry. The industry cycle indicator model demonstrates the macroeconomic fluctuations in the industrial sector.</p> <p><strong>Methodology: </strong>The industry cycle indicator was constructed following the approach of the Conference Board (2000). The result wasthen tested for robustness with a macro-stress test. Lagged independent variables were used in this study to allow early predictions by the ICI for the year in which the financial crisis happened.</p> <p><strong>Main Findings: </strong>The industry cycle indicator model underplays the role of aggregate industrial efficiency in influencing the economic cycle. By forecasting directional changes, this leading indicator allows policymakers to be made aware of revolutions in the financial industry and to undertake early precautionary steps to prevent vulnerability. Here, the constructed industry cycle indicator demonstrates a remarkable lead time of around 6 months for predictions and outperforms by the leading against the reference series.</p> <p><strong>Research Limitations/Implications: </strong>The industry cycle indicator model rejects the Keynesian approach and also rejects monetarism. It tends to be associated with neo-classical economics. The ICI generally assumes that shocks to productivity lead to economic fluctuations. In other words, a temporary fall in output is an inevitable consequence of a drop in productivity within the industrial sector. It also leads to adjustments to this new equilibrium and enables resources to discover more productive uses.</p> <p><strong>Novelty/Originality: </strong>This research demonstrates that enhanced knowledge of components of the macro-prudential policy framework combined with the existence of a certain degree of standardisation of the macro-prudential tools and indicators is essential. This can significantly develop the capability of the financial markets supervisory authorities to forecast systemic risk and to avoid or reduce the consequences of industrial crises. The present study reflects a situation for upcoming researchers who intend to study and develop their interests in this area.</p> Maria Afreen Copyright (c) 2020 2020-12-06 2020-12-06 09 18 10.36923/ijsser.v2i4.76