Search results
1 – 10 of over 8000Xuanhui Liu, Karl Werder, Alexander Maedche and Lingyun Sun
Numerous design methods are available to facilitate digital innovation processes in user interface design. Nonetheless, little guidance exists on their appropriate selection…
Abstract
Purpose
Numerous design methods are available to facilitate digital innovation processes in user interface design. Nonetheless, little guidance exists on their appropriate selection within the design process based on specific situations. Consequently, design novices with limited design knowledge face challenges when determining suitable methods. Thus, this paper aims to support design novices by guiding the situational selection of design methods.
Design/methodology/approach
Our research approach includes two phases: i) we adopted a taxonomy development method to identify dimensions of design methods by reviewing 292 potential design methods and interviewing 15 experts; ii) we conducted focus groups with 25 design novices and applied fuzzy-set qualitative comparative analysis to describe the relations between the taxonomy's dimensions.
Findings
We developed a novel taxonomy that presents a comprehensive overview of design conditions and their associated design methods in innovation processes. Thus, the taxonomy enables design novices to navigate the complexities of design methods needed to design digital innovation. We also identify configurations of these conditions that support the situational selections of design methods in digital innovation processes of user interface design.
Originality/value
The study’s contribution to the literature lies in the identification of both similarities and differences among design methods, as well as the investigation of sufficient condition configurations within the digital innovation processes of user interface design. The taxonomy helps design novices to navigate the design space by providing an overview of design conditions and the associations between methods and these conditions. By using the developed taxonomy, design novices can narrow down their options when selecting design methods for their specific situations.
Details
Keywords
Xin (Robert) Luo and Fang-Kai Chang
The purpose of this study is to demonstrate that Strategic Enterprise Management (SEM) and Business Intelligence (BI) have the potential to integrate management decisions…
Abstract
Purpose
The purpose of this study is to demonstrate that Strategic Enterprise Management (SEM) and Business Intelligence (BI) have the potential to integrate management decisions vertically through an organization’s hierarchy. This study also aims to present a design theory framework and build a model dimension using eight principles serving as mid-range theories.
Design/methodology/approach
This study uses a design science perspective to posit how organizations can successfully implement SEMBI (a union of SEM and BI). This study then completes the design theory by building the method dimension using two principles. Finally, the study presents testable hypotheses for the theory and an evaluation using stakeholder attitudes and judgments as proxies for objective measures.
Findings
In the search for a prescription for SEMBI success, this study finds that the notion of the Capability Maturity Model (CMM) is a good artifact with which to organize the principles the authors are seeking. CMM has since been adapted to suit different contexts by incorporating relevant principles from those domains. Hereafter, this study refers to SEMBI–CMM as the adapted solution for SEMBI's success.
Originality/value
This study coins and uses the term SEMBI to represent the union of SEM and BI. This term retains its distinct identities and principles and forms a holistic and integrated view of SEM and BI implementation strategies. In an effort to advance this line of research, this study employs a design science perspective to address the question of how an organization can successfully implement SEMBI.
Details
Keywords
Steven Gross, Katharina Stelzl, Thomas Grisold, Jan Mendling, Maximilian Röglinger and Jan vom Brocke
Process redesign refers to the intentional change of business processes. While process redesign methods provide structure to redesign projects, they provide limited support during…
Abstract
Purpose
Process redesign refers to the intentional change of business processes. While process redesign methods provide structure to redesign projects, they provide limited support during the actual creation of to-be processes. More specifically, existing approaches hardly develop an ontological perspective on what can be changed from a process design point of view, and they provide limited procedural guidance on how to derive possible process design alternatives. This paper aims to provide structured guidance during the to-be process creation.
Design/methodology/approach
Using design space exploration as a theoretical lens, the authors develop a conceptual model of the design space for business processes, which facilitates the systematic exploration of design alternatives along different dimensions. The authors utilized an established method for taxonomy development for constructing the conceptual model. First, the authors derived design dimensions for business processes and underlying characteristics through a literature review. Second, the authors conducted semi-structured interviews with professional process experts. Third, the authors evaluated their artifact through three real-world applications.
Findings
The authors identified 19 business process design dimensions that are grouped into different layers and specified by underlying characteristics. Guiding questions and illustrative real-world examples help to deploy these design dimensions in practice. Taken together, the design dimensions form the “Business Process Design Space” (BPD-Space).
Research limitations/implications
Practitioners can use the BPD-Space to explore, question and rethink business processes in various respects.
Originality/value
The BPD-Space complements existing approaches by explicating process design dimensions. It abstracts from specific process flows and representations of processes and supports an unconstrained exploration of various alternative process designs.
Details
Keywords
Innocent Senyo Kwasi Acquah, Micheline Juliana Naude and Sanjay Soni
This study aims to demonstrate how integration is achieved in an explanatory sequential mixed-methods design by assessing the effect of collaborative cultural dimensions on supply…
Abstract
Purpose
This study aims to demonstrate how integration is achieved in an explanatory sequential mixed-methods design by assessing the effect of collaborative cultural dimensions on supply chain collaboration amongst firms in Ghana's downstream petroleum sector. Specifically, the study examined how collectivism, long-term orientation, power symmetry, as well as uncertainty avoidance influence supply chain collaboration. Besides, it also demonstrates how integration is achieved in an explanatory sequential mixed-methods design.
Design/methodology/approach
Using an explanatory sequential mixed-methods design, the study employed a partial least squares structural equation modelling (PLS-SEM) analysis of quantitative data (N = 166), followed by a thematic analysis of eight semi-structured interviews to explain how and why the dimensions of collaborative culture impact supply chain collaboration.
Findings
The quantitative findings suggest that three out of the four dimensions of culture significantly predict supply chain collaboration. Integrating the quantitative and qualitative findings suggests convergence between the results of the quantitative and qualitative phases of the study as the qualitative results compliment the quantitative findings and offer more nuanced understanding of the cultural mechanisms responsible for successful supply chain collaborations.
Practical implications
The findings provide managers in the downstream petroleum sector with insights into how and why the dimensions of collaborative culture influence supply chain collaboration. These managers should, therefore, build corporate cultures characterized with high levels of long-term orientation, power symmetry and uncertainty avoidance.
Originality/value
Owing to the role of culture in successful supply chain collaborations, this study, through a mixed-methods design, links the dimensions of collaborative culture with supply chain collaboration in the downstream petroleum sector. Moreover, it demonstrates how integration and complementarity are achieved at the study design, methods, as well as the interpretation and reporting levels of an explanatory sequential mixed-methods design.
Details
Keywords
Lisa Hedvall, Helena Forslund and Stig-Arne Mattsson
The purposes of this study were (1) to explore empirical challenges in dimensioning safety buffers and their implications and (2) to organise those challenges into a framework.
Abstract
Purpose
The purposes of this study were (1) to explore empirical challenges in dimensioning safety buffers and their implications and (2) to organise those challenges into a framework.
Design/methodology/approach
In a multiple-case study following an exploratory, qualitative and empirical approach, 20 semi-structured interviews were conducted in six cases. Representatives of all cases subsequently participated in an interactive workshop, after which a questionnaire was used to assess the impact and presence of each challenge. A cross-case analysis was performed to situate empirical findings within the literature.
Findings
Ten challenges were identified in four areas of dimensioning safety buffers: decision management, responsibilities, methods for dimensioning safety buffers and input data. All challenges had both direct and indirect negative implications for dimensioning safety buffers and were synthesised into a framework.
Research limitations/implications
This study complements the literature on dimensioning safety buffers with qualitative insights into challenges in dimensioning safety buffers and implications in practice.
Practical implications
Practitioners can use the framework to understand and overcome challenges in dimensioning safety buffers and their negative implications.
Originality/value
This study responds to the scarcity of qualitative and empirical studies on dimensioning safety buffers and the absence of any overview of the challenges therein.
Details
Keywords
Aurik Gustomo, Hary Febriansyah, Henndy Ginting and Imelia Martinovita Santoso
Employee engagement has been directly linked to organizational outcomes, and at present, improving employee engagement has increasingly been a main focus for organizations…
Abstract
Purpose
Employee engagement has been directly linked to organizational outcomes, and at present, improving employee engagement has increasingly been a main focus for organizations. However, studies evaluating the impact of storytelling interventions on increasing the level of employee engagement are limited. Storytelling is one of the intervention methods that can provide cognitive stimulus to employees, which in turn could change their attitudes toward work including employee engagement. The purpose of this study is to determine the effectiveness of storytelling as an intervention tool for increasing employee engagement in one of the state-owned enterprises (SOEs) in West Java, Indonesia.
Design/methodology/approach
This study uses a quantitative method. Employees from a West Java branch of large SOEs were randomly assigned into experimental and control groups. The research design used a pretest and a post-test with an expressive writing method to identify the extent of employee engagement by comparing participant groups and measuring the increase of employee engagement as a result of the storytelling intervention. The experimental group participated in three storytelling sessions that had been set up by panels of experts, while the control group was not given any treatment. The expressive writing analysis was conducted using software that has been developed and tested for validity and reliability. Furthermore, statistical analysis was used to test the results of expressive writing scoring to determine the impact of storytelling interventions.
Findings
Direct storytelling is proven to be one of the most effective methods of increasing employee engagement in one of the SOEs in the West Java region. The results of this study showed that there were differences between the experiment and control groups after experiencing a direct storytelling intervention where there was a significant increase in the dimensions of employee engagement. Participants in experimental group had higher scores than participants in control group in most of the employee engagement dimensions. Additionally, expressive writing methods are also proven to be able to provide a stimulus for employees in expressing thoughts, perceptions and motivations for employee engagement in the company.
Research limitations/implications
As direct storytelling has not been frequently used, especially to improve employee engagement, more studies should be conducted in various settings, with different measurement tools, and in a more controlled environment to confirm the effects of the intervention.
Practical implications
This paper provides insight into how companies can use direct storytelling to improve the dimensions of employee engagement. Additionally, this research can also be used as a reference by companies in Indonesia, especially SOEs, for applying the same method in an effort to improve work-related attitudes, such as employee satisfaction and organizational commitment.
Social implications
This study raises social implications in which employees enthusiasm increases in improving personal relationships between employees and storytellers, who are middle or upper management employees. In addition, employees also more appreciate their struggles when starting their careers, so they care more about increasing their role and involvement in the company.
Originality/value
This paper provides resources and information for companies and organizations to improve employee engagement through the implementation of direct storytelling. The focus of this paper is to gain information on the role of direct storytelling in improving employee engagement within a company or organization.
Details
Keywords
Kedong Yin, Yun Cao, Shiwei Zhou and Xinman Lv
The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems…
Abstract
Purpose
The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.
Design/methodology/approach
Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.
Findings
Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.
Originality/value
The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.
Details
Keywords
Johanna Gummerus, Jacob Mickelsson, Jakob Trischler, Tuomas Härkönen and Christian Grönroos
This paper aims to develop and apply a service design method that allows for stronger recognition and integration of human activities into the front-end stages of the service…
Abstract
Purpose
This paper aims to develop and apply a service design method that allows for stronger recognition and integration of human activities into the front-end stages of the service design process.
Design/methodology/approach
Following a discussion of different service design perspectives and activity theory, the paper develops a method called activity-set mapping (ActS). ActS is applied to an exploratory service design project to demonstrate its use.
Findings
Three broad perspectives on service design are suggested: (1) the dyadic interaction, (2) the systemic interaction and (3) the customer activity perspectives. The ActS method draws on the latter perspective and focuses on the study of human activity sets. The application of ActS shows that the method can help identify and visualize sets of activities.
Research limitations/implications
The ActS method opens new avenues for service design by zooming in on the micro level and capturing the set of activities linked to a desired goal achievement. However, the method is limited to activities reported by research participants and may exclude unconscious activities. Further research is needed to validate and refine the method.
Practical implications
The ActS method will help service designers explore activities in which humans engage to achieve a desired goal/end state.
Originality/value
The concept of “human activity set” is new to service research and opens analytical opportunities for service design. The ActS method contributes a visualization tool for identifying activity sets and uncovering the benefits, sacrifices and frequency of activities.
Details
Keywords
Piia Markkanen, Eevi Juuti and Aulikki Herneoja
This study aims to find ways to bridge the gap between workplace design and research. Exploring the design process from general design aims to site-specific design makes the…
Abstract
Purpose
This study aims to find ways to bridge the gap between workplace design and research. Exploring the design process from general design aims to site-specific design makes the process visible to support workplace design research.
Design/methodology/approach
Participatory design methods were used to understand employees’ needs and preferences in work-related situations to support the design process. The design process was divided into three phases. The office was temporarily refurbished for the intervention study, and evaluation data was collected with qualitative methods.
Findings
Participatory design-generated data revealed typical knowledge work needs, such as the need for privacy, interaction, exposure and preferences for the atmosphere in the workspaces during different situations. The authors identified the following key points to obtain design data: design aims, affordance design and site-specific multidimensional design. An intervention study in a small organisation revealed that lack of activity-supporting spaces created undesirable overlaps for focused work, collaborative work and client communication.
Research limitations/implications
The findings of this paper are explorative and limited to a small knowledge work company. The present approach identifies valuable data collection points in different design phases of workplace design processes. Sharing knowledge from practice to research and vice versa could inform research and improve workplace design.
Originality/value
This study makes the workplace design phases more visible. It supports finding new ways to study the connection between the user-needs and workplaces; and understanding how different design solutions impact workplace experiences, such as satisfaction. This study also brings focus to understanding the versatile needs of small organisations and their workplace design.
Details