Search results

Geophysical methods are widely applied for the prognostication of natural and technogeneous risks. Especially effective is their application in the sphere of engineering geology and the ore exploration industry. The effectiveness of geophysical methods is convincingly illustrated by the concrete results obtained in studies, performed to solve specific problems. This paper presents an overview of methods and studies in the field of natural and technogeneous risks by the application of geophysical surveying. In a case study focusing on opencast coal exploration in the area of Maritza‐East, the usefulness of geophysical methods in mapping the hard rock inclusions in the overburden of the lignite mines is outlined. The possibilities of using such technologies for guiding the process and the reduction of technogeneous risks during exploration are outlined.

This study examines the mediating roles of the three dimensions of business intelligence (sensing capability, transforming capability and driving capability) in the relationship between the three dimensions of big data analytics capability (big data analytics management, technology and talent capabilities), and radical innovation among Chinese manufacturing enterprises.

A theoretical framework was developed using the resource-based view. The hypothesis was tested using empirical survey data from 326 Chinese manufacturing enterprises.

Empirical results show that, in the Chinese manufacturing context, business intelligence sensing capability, business intelligence transforming capability and business intelligence driving capability positively mediate the impact of big data analytics capability on radical innovation.

The results offer managerial guidance for leaders to properly use big data analytics capability, business intelligence and radical innovation as well as offering theoretical insight for future research in the manufacturing industry’s radical innovation.

This is among the first studies to examine three dimensions of big data analytics capability on the manufacturing industry’s radical innovation by considering the mediating role of three dimensions of business intelligence.

The purpose of this paper is twofold: to quantify the communication of organizational innovativeness (OI) on a large scale; and to examine the relationship of communicating OI and the corresponding investments in research and development (R & D) of multinational corporations (MNCs).

In total, 3,043 annual reports from 326 MNCs are examined utilizing quantitative content analysis, which focusses on fixed selected terminologies, in the years 1998-2008.

Scholars assume that the capacity for OI is becoming the single most important task in organizational survival. Even though in the sample the investments in R & D are not increasing, even slightly declining, the communication of OI is increasing. Using mixed-effects regression analysis, the findings indicate that the corporations that are investing in R & D are also communicating these efforts correspondingly.

This is the first study that measures the communication of OI using quantitative content analysis.

The results indicate that not only do the communication efforts of an organization’s OI have a perceived increasing importance. They also suggest that OI itself has become more important for organizations from a strategic point of view.

Based on the dynamic capabilities view, the current study aims to empirically investigate the effects of organizational learning culture (OLC), strategic reconfiguration (SREC) and digital transformation (DT), altogether, on Egyptian private hospitals' strategic renewal in the face of the COVID-19 pandemic.

This study adopted a cross-sectional design to collect the data used to carry out mediation analysis. A self-administered questionnaire was used to collect data from a sample consisted of 264 Egyptian private hospitals. The smart partial least square structural equation modeling technique (PLS-SEM) was adopted to test the hypotheses.

The results demonstrate that OLC directly and positively affects SR. Besides, SREC and DT partially and serially mediate the OLC-SR relationship.

The sample size was small, covering only Egyptian private hospitals. The results may be different in the manufacturing sector and in other countries. The study was cross-sectional which is limited to trace long-term effects of OLC, SREC and DT on SR. Accordingly, a longitudinal study may be undertaken.

Private hospitals' managers must actively explore and dig out valuable resources in order to discover potential information and trends endeavor to redesign internal structures, and reconfigure their current resources, structures and strategies to achieve strategic renewal. The findings also provide new insights to mangers of private sectors' institutions and direct their attention toward adopting the strategic renewal option to survive amidst crises instead of retrenchment, persevering, or quitting business.

The study's results imply that health care providers have sought to improve the capacities of their health care systems to address the patient-level social needs through continuous learning, internal reconfigurations and the transformation toward digitalization to renew their services.

This study therefore contributes to SR literature by being the first empirical study to introduce an integrative model for the antecedents of SR amidst the pandemic.

This paper investigates the impact of absorptive capacity (ACAP) on creativity and the effect of creativity on job performance. Further, the study investigates the moderating role of social media usage on the ACAP–creativity link and the creativity–job performance link. Accordingly, drawing on the ACAP perspective and social exchange theory (SET), the study develops a conceptual model and tests the proposed relationships.

The paper empirically tests the developed model using 512 survey responses from research and development (R&D) employees. Data were factor analyzed, and path estimates were determined using structural equation modeling to test the hypotheses.

The results reveal that (1) individual ACAP is positively related to creativity; (2) creativity is positively associated with job performance and (3) social media usage positively moderates the relationship between individual ACAP and creativity.

This paper contributes to the ACAP and creativity literature by establishing a comprehensive and empirically grounded framework that enlightens the relationships between ACAP, creativity, job performance and the moderating role of social media usage.