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The purpose of this study is to forecast the development performance of important economies in a smart city using mixed-frequency data.

This study introduces reverse unrestricted mixed-data sampling (RUMIDAS) to support vector regression (SVR) to develop a novel RUMIDAS-SVR model. The RUMIDAS-SVR model was estimated using a quadratic programming problem. The authors then use the novel RUMIDAS-SVR model to forecast the development performance of all high-tech listed companies, an important sector of the economy reflecting the potential and dynamism of urban economic development in Shanghai using the mixed-frequency consumer price index (CPI) producer price index (PPI), and consumer confidence index (CCI) as predictors.

The empirical results show that the established RUMIDAS-SVR is superior to the competing models with regard to mean absolute error (MAE) and root-mean-squared error (RMSE) and multi-source macroeconomic predictors contribute to the development performance forecast of important economies.

Smart city policy makers should create a favourable macroeconomic environment, such as controlling inflation or stabilising prices for companies within the city, and companies within the important city economic sectors should take initiative to shoulder their responsibility to support the construction of the smart city.

This study contributes to smart city monitoring by proposing and developing a new model, RUMIDAS-SVR, to help the construction of smart cities. It also empirically provides strategic insights for smart city stakeholders.

The purpose of this paper is to explore the relationship between effective knowledge management and corporate performance, to explore the dynamic symbiosis phenomenon of effective knowledge management based on organizational ecology with multinational companies (MNCs) and non-multinational companies (non-MNCs) and to explore the symbiosis strategy of knowledge management between multinational and non-multinational companies (non-MNCs) in China.

To measure effective knowledge management, this paper first uses structural equation model to measure knowledge management, based on the evolution dynamics equation in organizational ecology to measure the effectiveness of knowledge management, and studies the symbiosis of effective knowledge management between MNCs and non-MNCs based on ecological perspective.

Effective knowledge management can promote the financial performance of enterprises, but different degrees of effectiveness have different effects. In addition, the coupling and collaboration between knowledge management and corporate performance can reflect the value of effective knowledge management. The results show that effective knowledge management plays a positive moderating effect between knowledge management and corporate performance. Finally, the effective knowledge management system of MNCs (non-MNCs) has negative effect on non-MNCs (MNCs), showing the exclusive relationship between MNCs and non-MNCs in China.

The effectiveness of knowledge management is only based on the measurement of financial performance coupling. For other types of performance, it needs to be tested. The samples may not cover symbiosis relationship of effective knowledge management in other countries.

This paper provides practical and theoretical reference for confirming the symbiotic interaction and identifying the opportunities and challenges of knowledge management among different types of corporation groups.

The paper is one of the pioneering studies to explore the pattern of symbiotic evolution of effective knowledge management between MNCs and non-MNCs. From completely new perspectives, this study advances the research of knowledge management to a new and promising area.

This study aims to examine the political, economic, social and technological (PEST) factors of women empowerment in the context of rural development under the initiatives of the National Rural Livelihood Mission (NRLM).

The unit of analysis for this study is 459 samples. Non-probability sampling technique has been used for this study. Schedule/questionnaires have been circulated among the women in each block cluster. Frequencies have been used to represent the data against each statement. Non-parametric chi-square test has been used to examine the relationship between empowerment and political, economic, social, technological factors and interpersonal skills.

Statistical analysis shows that the Deendayal Antayodaya Yojana (DAY)-NRLM scheme has brought significant changes and development to women in political, social, economic and technological areas. It was observed that women are economically empowered and contribute to the economic upliftment of the family. Most of the respondents strongly felt that after being associated with DAY-NRLM, they were empowered to contribute efficiently to the social development process and activities.

The findings of this study highlight the impact of DAY-NRLM implementation at block levels of a district in India. Subsequent research may be carried to measure the effectiveness of the capacity-building program conducted under the banner of DAY-NRLM.

Women empowerment is not limited to awareness, whereas it needs a complete set of initiatives backed with support systems. Few critical interventions could be building strong networks, enhancing financial management, encouraging the spirit of entrepreneurship among self-help group workers, providing easy access to credit, mentoring, handholding, continuous monitoring and evaluation.

This study focuses on the impact of the DAY-NRLM scheme on women’s empowerment in the Morigaon district. The inferences from the study throw light on the empowerment of women vis-à-vis political, economic, social and technological factors.

This study is a primary study conducted in the Morigaon District of Assam. This is a new line of policy research that approaches the women empowerment with the PEST parameters.

This paper investigates the relationship between superstition and self-governance. We argue that at least some superstitions, and perhaps many, support self-governing arrangements. The relationship between such scientifically false beliefs and private institutions is symbiotic and socially productive. This simple but overlooked observation may help explain the emergence and otherwise puzzling persistence of both superstitions and “spontaneous” orders that seem perverse or dysfunctional, as well as why these two phenomena are often found together.

This paper aims to examine whether the cultural distance between an international audit firm and target audit clients in emerging countries is associated with auditor choice decisions.

Based on a sample of 104,699 firm-year observations from 20 countries over 2009–2020, logit regression analysis is used to investigate the research questions.

The authors find strong evidence that cultural distance affects the auditor selection decision. The results suggest Big N auditors are more likely to be chosen by target audit clients in emerging countries with less cultural distance. In other words, target audit clients in emerging countries prefer to choose international audit firms whose cultural characteristics are similar. Moreover, results from two-stage least squares regression further suggest that the observed effect of cultural distance on auditor choice is unlikely to be driven by potential endogeneity.

The auditor choice is limited to companies hiring Big N auditors; the authors exclude any switches to non-Big N auditors or switches between Big N auditors. The study also suffers from the concerns about methodological and conceptual criticism that most studies about national culture have to deal with. Finally, through this paper, the authors carry out the auditor selection process from the target audit clients’ side; the authors do not discuss the supply side of the process.

The authors contribute to the audit choice literature by providing evidence that the cultural distance between the countries of audit firms and target audit clients plays a role in the auditor choice decision. The study complements the prior auditor choice literature, focusing primarily on Western economies, by structuring the sample scope to emerging market economies.

The global COVID-19 pandemic has rapidly overwhelmed our societies, shocked the global economy and disturbed normal business operations. While such impacts of COVID-19 are becoming clearer, the effects of the disease on business operations are more common. This study mainly focuses on identifying the factors that affect the smooth operation of businesses during a pandemic situation.

Analytical hierarchy process (AHP) method was used to rate the result index. A total of 40 professionals and experts of different businesses were listed on stock exchanges, and asked to rank the key variables with relative indices and weighting methods.

The results of the AHP successfully assigned weighting scores to all key important factors during the COVID-19 pandemic situation that businesses should focus on, with economic factors receiving the highest score of 60%. Likewise, the other factors that impact values for business operations are reported as social (22%), legal (12.2%), technological (5.16%) and political (0.57%). The results of this study also match with the current policies adopted by different government and nongovernment agencies like the guidelines of the World Health Organization and some most recent research results.

In the hectic and growing environment under COVID-19 pandemic, more contributions are not enough, and it is helpful for the whole business industry and society by stipulating more views. This study aims to overview the global impacts and challenges of COVID-19 pandemic on business operations.

The Wayne Oakland Library Federation (MI) has been experimenting with digital cable transmission since 1981. Initial experiences were unsatisfactory due to odd frequency assignments and the need to customize modems. With the advent of adjustable modems, such as Zeta's Z‐19 RF, promising results have been attained. A number of key questions that will affect the future use of cable for data transmission are listed.

This study attempts to determine whether the level and volatility of interest rates affect the equity returns of commercial banks. Short‐term, intermediate‐term, and long‐term interest rates are used. Volatility is defined as the conditional variance of respective interest rates and is generated by using the ARCH estimation procedure. Two sets of models are estimated. The basic models attempt to determine the effect of contemporaneous and lagged interest rate volatility on bank equity returns, while the extended models incorporate additional contemporaneous macroeconomic variables. Contemporaneous interest rate volatility has little explanatory power, while lagged volatilities do possess some explanatory power, with the lag length varying depending on the interest rate series used and the time period examined. The results from the extended model suggest that the long‐term interest rate affects bank equity returns more adversely than the short‐term or the intermediate‐term interest rates. The findings establish the relevance of incorporating macroeconomic variables and their volatilities in models determining bank equity returns.

The aim of the study was to analyze the use of power in a strategic change process within a large forest industry company. The organization in question had a total of 7,700 employees, 6‐8 organizational levels, over 30 production units and a widespread international sales network. The study highlighted the organization's internal narration as an important element in the use of power. It started in conjunction with the appointment of the new management group and continued throughout the two‐year monitoring period, so that gradually all organizational layers were involved in interpreting their roles and positions in the new structure.

The empirical data were collected during a period of more than two years through participatory observation and the change narrative was made using the change report method. The use of power was observed from the perspective of the management group. The researcher had a dual role; he served both as a researcher and a member of the management group.

The first conclusion revealed that the change did not represent a separate process that was taking place outside the normal, established functioning and management process of the organization. The second conclusion was that implementing a transformative change in a large organization is a multi‐stage and challenging learning process, both for the change makers as well as for other members of the organization. The third conclusion was that there were no shortcuts to change. It took place through the thinking and actions of the people starting from the understanding of the measures required for the change.

There are three limitations to the study. First, its findings are based on the viewpoint of the new management group. Second, the role of the researcher and the episodic progress narrative edited by himself defined the change process as a five‐phased process. Third, and closely linked to the previous limitation, the possible narrowness of the researcher in his thinking is also a potential limitation.

The results of the study could pave the way to a more realistic understanding of power and change in large multinational companies.

This article is a genuine research paper with profound fieldwork. It broadens viewpoints considering power, change and the role of top management in a large and global Finnish forest industry corporation.

German (corporate-) real estate management departments have been facing the challenge of poor data quality for years. This holds them back from generating efficiency potentials via the use of new methods from the field of digitalisation and from coping with the increasing requirements from the ESG context. The purpose of this paper is to explore why German (corporate-) real estate managements (do not) share data with their real estate service providers to address the data quality challenge and identify possible solutions.

To answer the research question, the reasoned action approach, an established theory from psychology for predicting human behaviour, is used. The relationships between the constructs are determined using linear regression. The study participants are almost exclusively from Germany.

The organisational milieu (perceived behavioural control) has a significant impact on the behaviour of sharing data with real estate service providers. Especially the change of contractual arrangements (data-driven contracts) seems to be crucial for the improvement of information logistics.

To the best of the author’s knowledge, for the first time, the reasoned action approach is used within the German real estate industry to predict organisational behaviour in the context of digitalisation.