Daniel Gozman and Wendy Currie
The purpose of this paper is to understand how institutional changes to the European Union regulatory landscape may affect corresponding institutionalized operational practices…
Abstract
Purpose
The purpose of this paper is to understand how institutional changes to the European Union regulatory landscape may affect corresponding institutionalized operational practices within financial organizations.
Design/methodology/approach
The study adopts an Investment Management System as its case and investigates different implementations of this system within eight financial organizations, predominantly focused on investment banking and asset management activities within capital markets. At the systems vendor site, senior systems consultants and client relationship managers were interviewed. Within the financial organizations, compliance, risk and systems experts were interviewed.
Findings
The study empirically tests modes of institutional change. Displacement and Layering were found to be the most prevalent modes. However, the study highlights how the outcomes of Displacement and Drift may be similar in effect as both modes may cause compliance gaps. The research highlights how changes in regulations may create gaps in systems and processes which, in the short term, need to be plugged by manual processes.
Practical implications
Vendors abilities to manage institutional change caused by Drift, Displacement, Layering and Conversion and their ability to efficiently and quickly translate institutional variables into structured systems has the power to ease the pain and cost of compliance as well as reducing the risk of breeches by reducing the need for interim manual systems.
Originality/value
The study makes a contribution by applying recent theoretical concepts of institutional change to the topic of regulatory change uses this analysis to provide insight into the effects of this new environment.
Details
Keywords
The purpose of the study was to explore the purchase intention of online consumers by proposing and validating a model supported by exhaustive reviews from top-rated journals…
Abstract
Purpose
The purpose of the study was to explore the purchase intention of online consumers by proposing and validating a model supported by exhaustive reviews from top-rated journals, where digital technology, consumer privacy, consumer engagement and online advertising were the extracted constructs influencing consumer learning on digital platforms and finally evaluating the purchase intention of online consumers.
Design/methodology/approach
A questionnaire representing these constructs was then sent to the 470 respondents on LinkedIn, and then designations like business heads, managers and faculty from educational institutions were selected using a stratified sampling technique and, finally, PLS-SEM robust computation standards aided in research model assessment and validation.
Findings
Results predicted that the variance explained by individual independent constructs defines consumer privacy as a priority for companies, followed by online advertising, consumer engagement and digital technology while measuring the final purchase intent for online consumption. Also, with dynamism in consumer sentiments and a rapidly changing technological environment, the consumer’s digital behaviour may differ in the coming future in relation to their online purchase intent.
Research limitations/implications
Current research anticipates that the final online purchase intent of consumers has been vividly covered by our independent constructs, but an unexplained R2 of 31% still promotes prospects related to the existing research. Furthermore, India has a huge rural population that, with a lack of money, has a complex behavioural mindset due to religious issues.
Practical implications
It is important to note that in a real-time market, a better understanding of the duality of persuasive and smart technology and the evaluation of the performance of social media helps in deciding the final online consumer intent.
Originality/value
The need for digital transformation has become an essential necessity for companies while managing the expectations and needs of the fastest-growing online consumers.
Details
Keywords
Antti Ylä-Kujala, Damian Kedziora, Lasse Metso, Timo Kärri, Ari Happonen and Wojciech Piotrowicz
Robotic process automation (RPA) has recently emerged as a technology focusing on the automation of repetitive, frequent, voluminous and rule-based tasks. Despite a few practical…
Abstract
Purpose
Robotic process automation (RPA) has recently emerged as a technology focusing on the automation of repetitive, frequent, voluminous and rule-based tasks. Despite a few practical examples that document successful RPA deployments in organizations, evidence of its economic benefits has been mostly anecdotal. The purpose of this paper is to present a step-by-step method to RPA investment appraisal and a business case demonstrating how the steps can be applied to practice.
Design/methodology/approach
The methodology relies on design science research (DSR). The step-by-step method is a design artefact that builds on the mapping of processes and modelling of the associated costs. Due to the longitudinal nature of capital investments, modelling uses discounted cashflow and present value methods. Empirical grounding characteristic to DSR is achieved by field testing the artefact.
Findings
The step-by-step method is comprised of a preparatory step, three modelling steps and a concluding step. The modelling consists of compounding the interest rate, discounting the investment costs and establishing measures for comparison. These steps were applied to seven business processes to be automated by the case company, Estate Blend. The decision to deploy RPA was found to be trivial, not only based on the initial case data, but also based on multiple sensitivity analyses that showed how resistant RPA investments are to changing circumstances.
Practical implications
By following the provided step-by-step method, executives and managers can quantify the costs and benefits of RPA. The developed method enables any organization to directly compare investment alternatives against each other and against the probable status quo where many tasks in organizations are still carried out manually with little to no automation.
Originality/value
The paper addresses a growing new domain in the field of business process management by capitalizing on DSR and modelling-based approaches to RPA investment appraisal.