JOB SATISFACTION SCALE FOR TECH WORKERS: IMPLEMENTATION COMPASS DOI

Amenawon Imuwahen Ehigbochie,

Godspower Osaretin Ekuobase

FUDMA Journal of Sciences, Год журнала: 2024, Номер 8(6), С. 466 - 480

Опубликована: Дек. 31, 2024

Tech workers are not just employees but ubiquitous architects and drivers of the imminent digitalized future. worker’s wellbeing is, therefore, crucial for global prosperity – necessitating their continuous monitoring management in workplace. Although a cross-cultural job satisfaction scale has been specifically developed validated to help gauge tech workers, christened JSST, it lacked an implementation guideline. This lack guidelines JSST questionnaire can stifle its practicality and, by extension, workers. The aim this study, is design guideline JSST. was designed using descriptive statistics algorithmic specification. Adopting self-assessment online survey on original Five-point Likert Questionnaire, study also demonstrated 276 valid workers’ data solicited globally employed demonstrate guideline’s feasibility. Overall, index estimated fall into third quartile satisfaction, Q3, which low. low may account high turnover turn-away industry. A notable outcome seamless scheme, only effective highly adaptable. scheme be tailored any multi-faceted psychometric scale, making versatile tool assessing employee wellbeing. automation web accessibility encouraged.

Язык: Английский

A robotic process automation model for order-handling optimization in supply chain management DOI Creative Commons
Ahm Shamsuzzoha,

Sini Pelkonen

Supply Chain Analytics, Год журнала: 2025, Номер unknown, С. 100102 - 100102

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

The Future of Work: Robotic Process Automation and its Role in Shaping Tomorrow’s Business Landscape DOI
Vivek Bhardwaj, Shveta Yadav, Navjeet Kaur

и другие.

SN Computer Science, Год журнала: 2025, Номер 6(2)

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

0

How do ESG ratings promote digital technology innovation? DOI

P. Hao,

Samar S. Alharbi,

Ahmed Imran Hunjra

и другие.

International Review of Financial Analysis, Год журнала: 2024, Номер unknown, С. 103886 - 103886

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

2

The Future of Work – How RPA is Transforming Job Roles and Skill Requirements DOI Open Access

Pravin Kumar Raja Mahendran

International Journal of Advanced Research in Science Communication and Technology, Год журнала: 2024, Номер unknown, С. 555 - 557

Опубликована: Авг. 16, 2024

The future of work is rapidly evolving and transforming from what it used to be 5 years back. Thanks the emergence such technologies as robotics artificial intelligence (AI), this transformation going crucial mechanization farms industrial revolutions[1]. While there significant apprehension that implementation these will displace number labors several jobs lost. However, also true other created accommodate implementation. COVID-19 crisis has been responsible for hastening existing trends instigated business reevaluate aspects work. This article examines impact Robotic Process Automation (RPA) on job roles, skill requirements, overall across different sectors.

Язык: Английский

Процитировано

0

EXPLORING THE IMPACT OF AI RESEARCH, VENTURE CAPITAL INVESTMENT, AND ADOPTION ON PRODUCTIVITY: A MULTI-COUNTRY PANEL DATA ANALYSIS DOI Creative Commons
Shah Mehmood Wagan,

Sidra Sidra

JOURNAL OF EUROPEAN ECONOMY, Год журнала: 2024, Номер Vol 23, No 4 (2024), С. 688 - 713

Опубликована: Дек. 1, 2024

Artificial intelligence is the most important technological development of 21st century, which transforming businesses and economies. This paper investigates how AI venture capital investment, research publications, adoption affect total factor productivity (TFP). The study utilizes fixed effects econometric modeling on panel data from 14 countries over period 2013 to 2023. Results indicate that being positively affected by output, adoption, with highest contribution coming adoption. These findings show a strong ecosystem capital, research, diffusion artificial technologies within industries have be fostered for innovation in intelligence.

Язык: Английский

Процитировано

0

JOB SATISFACTION SCALE FOR TECH WORKERS: IMPLEMENTATION COMPASS DOI

Amenawon Imuwahen Ehigbochie,

Godspower Osaretin Ekuobase

FUDMA Journal of Sciences, Год журнала: 2024, Номер 8(6), С. 466 - 480

Опубликована: Дек. 31, 2024

Tech workers are not just employees but ubiquitous architects and drivers of the imminent digitalized future. worker’s wellbeing is, therefore, crucial for global prosperity – necessitating their continuous monitoring management in workplace. Although a cross-cultural job satisfaction scale has been specifically developed validated to help gauge tech workers, christened JSST, it lacked an implementation guideline. This lack guidelines JSST questionnaire can stifle its practicality and, by extension, workers. The aim this study, is design guideline JSST. was designed using descriptive statistics algorithmic specification. Adopting self-assessment online survey on original Five-point Likert Questionnaire, study also demonstrated 276 valid workers’ data solicited globally employed demonstrate guideline’s feasibility. Overall, index estimated fall into third quartile satisfaction, Q3, which low. low may account high turnover turn-away industry. A notable outcome seamless scheme, only effective highly adaptable. scheme be tailored any multi-faceted psychometric scale, making versatile tool assessing employee wellbeing. automation web accessibility encouraged.

Язык: Английский

Процитировано

0