Artificial Intelligence and its Potential Adverse Impacts on the Philippine Economy

Recent developments in artificial intelligence (AI) and deep learning techniques are expected to reshape the nature of the working environment in many economic sectors through the automation of many white collar jobs. This technological breakthrough poses threats of job obsolescence in several industries, particularly for a labor abundant country such as the Philippines. With human capital as one of its largest resources, the services sector is a major contributor to the country’s economy, contributing around 60% of the total gross domestic product and employing about 22.8 million workers (Philippine Statistics Authority, 2017)

The effect of over-indebtedness stress on workplace behavior and job attitudes among office workers in Ozamiz City, Philippines: An evidence using multi-wave and experience sampling method (ESM)

One of the cited effects of personal over-indebtedness is productivity loss in the workplace due to employee passiveness or counterproductive behavior; however, there is a lacking theoretical foundation to explain the phenomenon. Therefore, it is vital to understand the relationship between over-indebtedness and the employee’s behavior in the organization. This study applied both the cognitive appraisal theory of stress and conservation of resource theory. This study examined the relationship between the employee’s indebtedness stress and workplace behavior (i.e., work withdrawal, workplace incivility, task proficiency, organizational citizenship), considering whether an employee appraises indebtedness stress as a threat a challenge in the point of view of the cognitive appraisal theory of stress using the experience sampling method (ESM) as study 1. Alternatively, drawing on the conservation of resources theory, this study examined the relationships among employees\u27 indebtedness stress, self-regulation depletion, and workplace attitude (i.e., job satisfaction, organizational commitment) utilizing a three-wave longitudinal survey as study 2. This study also examined the moderating role of financial cognitive biases (i.e., optimism, risk propensity) and behavioral traits (i.e., materialism, resilience). The study was conducted in Ozamiz City, Misamis Occidental, Philippines. Study 1 used multi-level SEM panel data through individual daily records among 35 office employees for ten days. Results from study 1 suggest over-indebtedness stress is unlikely appraised as a challenge but only as a threat. This means that stress resulting from over-indebtedness is a harmful type of stress that only results in resource depletion of individual and negative behavior. It also showed that optimism and resilience traits significantly moderates the effect of indebtedness stress and threat appraisal. Thus, both optimism and resilience reduce the effects of indebtedness stress. Results from study 2 support hypothesized relationships of the conceptual framework of the researcher. Results show that indebtedness stress negatively impacts job attitudes through self-regulation depletion. It also showed that both optimism and resilience reduce the effects of indebtedness stress. Overall, the researcher provides an integrative model to explain the effect of indebtedness stress on work-behavior and job attitudes among office workers. This study contributes to the literature in several important ways. First, this study has found that indebtedness stress is unlikely a source for personal growth, gain, or mastery. Second, this study has shown that indebtedness stress can result in long-term psychological distress and resource loss spiral among employees. Third, the result means that indebtedness stress can become a persistent problem when employees are not given social support. Finally, this study provides insights to help managers understand and deal with employees experiencing worklife interference problems, specifically employees having debt problems

Influence of self-service technology (SST) service quality dimensions as a second-order factor on perceived value and customer satisfaction in a mobile banking application

© 2020, © 2020 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. Banks offer technology-based self-service banking such as mobile banking applications to keep up with technological advancement. The usage of this application requires quality service delivery. However, there is a dearth of literature on post-adoption and service quality assessment of mobile banking applications. Therefore, the main objective of this study is to assess if the Self-Service Technology service quality (SSTQUAL) dimensio ns influence the perceived value and customer satisfaction in mobile banking applications. The data was gathered from 200 users of mobile banking. Data analysis was carried out with Structural Equation Modelling (SEM) using AMOS. Service quality is a second-order factor composed of seven first-order factors of quality dimensions. The findings of this study reveal that service quality significantly influences the perceived value and customer satisfaction. These findings provide insights for banks and mobile application providers to develop strategies that will enhance customer experience, perceived value, and customer satisfaction