An analysis of factors improving technology roadmap credibility: A communications theory assessment of roadmapping processes

In recent years, many industrial firms have been able to use roadmapping as an effective process methodology for projecting future technology and for coordinating technology planning and strategy. Firms potentially realize a number of benefits in deploying technology roadmapping (TRM) processes. Roadmaps provide information identifying which new technologies will meet firms' future product demands, allowing companies to leverage R&D investments through choosing appropriately out of a range of alternative technologies. Moreover, the roadmapping process serves an important communication tool helping to bring about consensus among roadmap developers, as well as between participants brought in during the development process, who may communicate their understanding of shared corporate goals through the roadmap. However, there are few conceptual accounts or case studies have made the argument that roadmapping processes may be used effectively as communication tools. This paper, therefore, seeks to elaborate a theoretical foundation for identifying the factors that must be considered in setting up a roadmap and for analyzing the effect of these factors on technology roadmap credibility as perceived by its users. Based on the survey results of 120 different R&D units, this empirical study found that firms need to explore further how they can enable frequent interactions between the TRM development team and TRM participants. A high level of interaction will improve the credibility of a TRM, with communication channels selected by the organization also positively affecting TRM credibility.     

Using a design structure matrix to support technology roadmapping for product–service systems

In light of the increasing trend of the use of the product–service system (PSS), tools that can help to analyse complex relationships among products, services and technologies and furthermore support decision-making during their planning are needed. To meet these needs, this study proposes a design structure matrix (DSM)-based technology roadmap (TRM) approach and a case study on mobile services is conducted. While PSS planning may involve a number of teams and organisations, the DSM-based TRM can help with such complex collaborative technology planning and hence lead to better performance. Methodologically, this is one of the first attempts to link DSM and TRM, both of which are widely used in planning stages, and thus is expected to contribute to the advances in TRM methodologies. In practice, this study describes an overall roadmapping process for the PSS, thus providing worthwhile guidelines available to organisations that are in charge of the TRM.     

Technology roadmap through fuzzy cognitive map-based scenarios: the case of wind energy sector of a developing country

In this research, a national-level wind energy roadmap is developed through scenario planning. Multiple future scenarios are developed using the fuzzy cognitive maps (FCM) approach. This research has extended technology roadmapping (TRM) through FCM-based scenario analysis. Building scenarios with FCM is a new approach, and for the first time, to the best of our knowledge, FCM-based scenarios are developed for the wind energy sector of a developing country. Based on these multiple scenarios, a TRM has been developed. Scenario planning and TRM techniques are combined in this study. This research approach is applied to the wind energy sector of Pakistan as a research case. The TRM has four layers: strategic objectives, targets, barriers, and action items. Expert judgement is used to develop scenarios and TRMs.     

Implementing technology roadmapping with supplier selection for semiconductor manufacturing companies

The rapid pace of technological innovation in the semiconductor manufacturing industry has necessitated the acquisition of competitive advantage from strategic technology planning. The vital requisite for this is well-timed investment including the replacement of old equipment with advanced new equipment. In such investment, selecting the appropriate semiconductor manufacturing equipment from the appropriate supplier is a key factor for successful technology planning. Therefore, equipment supplier selection should be taken into account in the technology planning of semiconductor manufacturing companies. One of the most widely used tools for technology planning is the technology roadmap (TRM). However, conventional TRMs have not considered the task of supplier selection. To address this limitation, this study proposes an extended, four-layered TRM that adds the layer of equipment supplier to the conventional layers of market, product, and technology. The equipment suppliers to be included in the new layer are selected from the supplier portfolio matrix composed of two performance axes: supplier performance and equipment performance. The candidates of equipment suppliers are placed on the supplier portfolio matrix according to the values of two axes determined by evaluation using the analytic hierarchy process (AHP). The proposed TRM is expected to be useful for technology planning by adding a consideration for equipment supplier selection in semiconductor manufacturing companies.     

BIG data – BIG gains? Understanding the link between big data analytics and innovation

ABSTRACT

This paper analyzes the relationship between firms' use of big data analytics and their innovative performance in terms of product innovations. Since big data technologies provide new data information practices, they create novel decision-making possibilities, which are widely believed to support firms' innovation process. Applying German firm-level data within a knowledge production function framework we find suggestive evidence that big data analytics is a relevant determinant for the likelihood of a firm becoming a product innovator as well as for the market success of product innovations. These results hold for the manufacturing as well as for the service sector but are contingent on firms' investment in IT-specific skills. Overall, the results support the view that big data analytics have the potential to enable innovation.     

Dealing with the dynamics of technology roadmapping implementation: A case study

Nowadays, companies are facing many challenges. The product life cycle is getting shorter while the complexity and the demand for product customization are increasing. Technology Roadmapping (TRM) has been widely used as a strategic management tool to help organizations in effectively identifying potential products or services for the future, determining proper technology alternatives, and mapping them with resource allocation plans. With the completion of TRM implementation, any organization can be assured that its required technologies and infrastructures will be ready when needed. Implementing TRM as a part of the ongoing strategic/business planning process is challenging because it may affect the organizational work process, structure, and culture. Therefore, an organization needs to understand how the changing roles and responsibilities of key players involved in the TRM process match with the dynamics of TRM implementation in each stage. This paper illustrates the dynamics of TRM implementation and presents a case study to demonstrate how one of the leading building product manufacturers in the ASEAN region went through the process.     

Do social exclusion and remoteness explain the digital divide in Australia? Evidence from a panel data estimation approach

ABSTRACT

Despite rapid digital development in the past two decades, the remote parts of Australia still experience disadvantages with the adoption and diffusion of digital technology. As the adoption of information and communication technology continues to increase at a significant rate, investigating the underlying factors of the digital divide in general and also in the context of social exclusion in Australia is pertinent. The current study fills the gap in the existing body of knowledge by exploring the effect of socio-demographic factors and remoteness on the digital divide landscape with a country-specific focus on Australia. Using state-wide longitudinal data covering the 1998–2015 period within the panel data estimation framework, this study finds that digital divide is significantly associated with socio-demographic factors and remoteness in Australia. Moreover, the findings affirm that in addition to telecommunication infrastructure development, policymakers should also underscore socio-demographic factors in shaping digital inclusion strategies.     

Cost-effectiveness of osimertinib in the UK for advanced EGFR-T790M non-small cell lung cancer

Aim: This study presents the cost-utility analysis that was developed to inform the NICE health technology assessment of osimertinib vs platinum-based doublet chemotherapy (PDC) in patients with EGFR-T790M mutation-positive non-small cell lung cancer (NSCLC) who have progressed on epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) therapy.

Methods and materials: A partitioned survival model with three health states (progression-free, progressed disease, and death) from a UK payer perspective and over lifetime (15 years) was developed. Direct costs included disease management, treatment-related (acquisition, administration, monitoring, adverse events), and T790M testing costs. Efficacy and safety data were taken from clinical trials AURA extension and AURA2 for osimertinib and IMPRESS for PDC. An adjusted indirect treatment comparison was applied to reduce the potential bias in the non-randomized comparison. Parametric functions were utilized to extrapolate survival beyond the observed period. Health state utility values were calculated from EQ-5D data collected in the trials and valued using UK tariffs. Resource use and costs were based on published sources.

Results: Osimertinib was associated with a gain of 1.541 quality-adjusted life-years (QALYs) at an incremental cost of £64,283 vs PDC (incremental cost-effectiveness ratio [ICER]: £41,705/QALY gained). Scenario analyses showed that none of the plausible scenarios produced an ICER above £44,000 per QALY gained, and probabilistic sensitivity analyses demonstrated a 63.4% probability that osimertinib will be cost-effective at a willingness-to-pay threshold of £50,000.

Limitations: The analysis is subject to some level of uncertainty inherent to phase 2 single-arm data and the immaturity of the currently available survival data for osimertinib.

Conclusions: Osimertinib may be considered a cost-effective treatment option compared with PDC in the second-line setting in patients with EGFR-T790M mutation-positive NSCLC from a UK payer perspective. Further data from the ongoing AURA clinical trial program will reduce the inherent uncertainty in the analysis.     

Identifying uncertainty shocks using world diffusion index

ABSTRACT

In this study, a world diffusion index is developed to measure how uncertainty shocks have diffused among 179 economies and caused contractions in the world growth cycles. This index is simply defined as the percentage share of the number of expanding countries. It identifies four uncertainty shocks: the oil crisis of 1973; the bursting of the information technology bubble in 2000; the credit crunch of 2007; and the European debt crisis of 2010. To overcome the problem of data unavailability in emerging market economies, the annual GDP values of 179 economies are transformed through temporal disaggregation, and the dating of quarterly growth cycles is implemented as per the OECD method. The empirical findings indicate that each of the uncertainty shocks caused severe contractions in the advanced economies but that the emerging market economies experienced such contractions only during the credit crunch of 2007. Policy implications are also discussed.     

A predictive filtering approach for clarifying bibliometric datasets: an example on the research articles related to industry 4.0

ABSTRACT

This study proposes a filtering approach based on text classification and a fuzzy multi-criteria decision-making technique to select the relevant bibliometric data for further analyses in the scope of bibliometrics, scientometrics, and related methodologies. The proposed approach is illustrated on Industry 4.0 and internet of things which are the concepts that currently draw utmost attention with a growing number of research and applications. Accordingly, various findings are presented revealing the characteristics of the selected bibliometric data with the help of text and network analytics. The potential contribution of this study is two-fold such that the study not only suggests a novel approach for clarifying the retrieved bibliometric data but also emphasises the mainstream research areas and directions of Industry 4.0 along with the concept of the internet of things. Thus, an analysis framework with computing techniques has been used to reveal the characteristics of literature in a field of technology.     

The cost-effectiveness of somatropin treatment for short children born small for gestational age (SGA) and children with growth hormone deficiency (GHD) in Sweden

Abstract

Objective: Reduction in health-related quality of life is common in children born small for gestational age (SGA) or children with growth hormone deficiency (GHD). Growth hormone treatment with somatropin in these children leads to normalisation of height. The aim of this study was to determine whether somatropin is a cost-effective treatment option for short children born SGA and GHD children in Sweden.

Methods: A Markov decision-tree model was used to calculate the relative costs and health benefits associated with somatropin treatment over the lifetime of SGA and GHD children, compared with no treatment. The analysis was undertaken from a Swedish Health Service perspective. As quality-adjusted life-year (QALY) data were not obtained directly in the clinical studies, a degree of uncertainty is related to these results. Sensitivity analyses assessed the degree of uncertainty surrounding central parameters.

Results: For short children born SGA, somatropin treatment was associated with an additional 3.29 QALYs at an incremental cost of 792,489 SEK (Swedish Krona), compared with no treatment. For GHD, somatropin treatment resulted in 3.25 additional QALYs at an incremental cost of 391,291 SEK. This equates to an incremental cost per QALY of 240,831 SEK and 120,494 SEK for SGA and GHD, respectively, below a cost-effectiveness threshold of 500,000–600,000 SEK/QALY.

Conclusions: Somatropin is a cost-effective treatment strategy in Sweden for children with GHD and SGA. To overcome present study limitations future clinical research should incorporate appropriate quality of life questionnaires.     

Coupling relationships and synergistic mechanisms between technology management capability and technological capability in product innovation: a simulation study

ABSTRACT

This paper focuses on the dynamic co-evolution of technology management capability and technological capability in the system of product innovation. It is motivated by the increasing attention that product innovation has received recently, as it is considered one of the most important factors that can bring about competitive advantages for firms to compete with their rivals in the current competitive business environment. Framing the system of product innovation as a complex adaptive system and focusing on the roles of technology management capability and technological capability in the system, the most suitable synergistic mechanisms between technology management capability and technological capability that can make the system reach the highest fitness under their diverse coupling relationships are identified by means of NK fitness landscape model. The simulation results show that there are matches between the coupling relationships among the elements of technology management capability and technological capability and their synergistic mechanisms in the system of product innovation. This paper provides a better understanding of the relationships between technology management capability and technological capability and managerial implications for firms to innovate products successfully and promptly and thus improve their competitive advantages.     

Real options or disaster risk? Distinguishing uncertainty effects on investment

ABSTRACT

Motivated by the fact that uncertainty shocks are a countercyclical phenomenon, this article takes a deeper look at the nature of uncertainty shocks in times of crisis and its effect on the real economy. We distinguish between volatility and disaster risk shocks and specify the consequences of these shock specifications on investment decisions. We first analyse the different impact of both shocks within a real options framework. Our theoretical results show that the effects of the two shocks are different, especially concerning disinvestment and the mid-term investment response. Second, we perform structural vector autoregression (SVAR) estimations on different country data sets. The SVAR estimations confirm our theoretical hypothesis: countries more prone to states of disaster do not show the usual real option pattern of investment to an uncertainty shock.     

Tracking the technological composition of industries with algorithmic patent concordances

ABSTRACT

Patents are a useful proxy for innovation, technological change, and diffusion. However, fully exploiting patent data for economic analyses requires linking patents to measures of economic activity, which has proven to be difficult. We construct probabilistic linkages between the U.S. Patent Classification (USPC) system and Cooperative Patent Classification (CPC) system and industry and product classifications including the North American Industrial Classification System (NAICS), International Standard Industrial Classification (ISIC), Harmonized System (HS) and Standard International Trade Classification (SITC). We use these concordances to evaluate the persistence of technology-industry relationships over time by generating linkages over different years of patent data. We find strong persistence in technology usage within industries and, until recently, relatively little change in the technology composition of industries over time. As the technology composition of industries becomes more stable, we find evidence of increased specialization. Finally, we show that industries that exhibit changing technology composition also show shifting occupational composition.     

Application of technology roadmaps for renewable energy sector

Technology Roadmapping (TRM) is a growing technique widely used for strategy planning and aligning technology with overall business objectives. Technology roadmaps are extensively used in many diverse fields at product, technology, industry, company and national levels. An increasing number of articles published on TRM and technology roadmaps indicate that there is a growing attention for TRM among the researchers from academia, industry and government. In this article, an overview of the application of TRM in renewable energy sector has been provided. After survey of the relevant academic literature and industry roadmaps, we tried to group the roadmaps related to the renewable energy technologies into national, industry/sector and organizational level roadmaps. Research findings indicate that goals and objectives of renewable energy roadmaps are different at these three levels. At national level, roadmaps focus on future energy security, energy dependence, energy policy formulation and environment protection. At industry/sector level, roadmaps are used to identify vision, common needs and evaluate barriers, constraints and risks faced by the industry from technical, political and commercial aspects. Organizational roadmap focuses on evaluation and prioritization of R&D projects to achieve the business goals. Similarly different methods, tools and approaches are used to develop roadmaps at different levels. Various other characteristics of these roadmaps are also discussed and analyzed. Research findings also indicate that greater numbers of roadmaps are developed for those renewable energy technologies undergoing rapid growth. Moreover, most of these roadmaps are developed in the regions where more research, development and deployment activities of renewable energy technologies is taking place.     

Two-way relationship between innovation and market structure: evidence from Indian high and medium technology firms

ABSTRACT

This study analyses a two-way relationship between innovation and market structure in Indian high and medium technology firms. We perform an empirical analysis based on a simultaneous equation model on data for 991 high and medium technology firms during 2000–2015. Patent applications and patent grants capture innovation activity of the firms. We find that the market structure has an insignificant impact on innovation. A separate analysis of neck-and-neck firms also suggests that market structure has no impact on innovation. On the other hand, patenting has a positive and significant impact on market structure in both high and medium technology firms. The study concludes that in-house technology creation is a vital source of market dominance in Indian high and medium technology firms.     

Cost-effectiveness analysis of neoadjuvant pertuzumab and trastuzumab therapy for locally advanced,inflammatory, or early HER2-positive breast cancer in Canada

Abstract

Objective:

The NeoSphere trial demonstrated that the addition of pertuzumab to trastuzumab and docetaxel for the neoadjuvant treatment of HER2-positive locally advanced, inflammatory, or early breast cancer (eBC) resulted in a significant improvement in pathological complete response (pCR). Furthermore, the TRYPHAENA trial supported the benefit of neoadjuvant dual anti-HER2 therapy. Survival data from these trials is not yet available; however, other studies have demonstrated a correlation between pCR and improved event-free survival (EFS) and overall survival (OS) in this patient population. This study represents the first Canadian cost-effectiveness analysis of pertuzumab in the neoadjuvant treatment of HER2-positive eBC.

Methods:

A cost-utility analysis (CUA) was conducted using a three health state Markov model (‘event-free’, ‘relapsed’, and ‘dead’). Two separate analyses were conducted; the first considering total pCR (ypT0/is ypN0) data from NeoSphere, and the second from TRYPHAENA. Published EFS and OS data partitioned for patients achieving/not achieving pCR were used in combination with the percentage achieving pCR in the pertuzumab trials to estimate survival. This CUA included published utility values and direct medical costs including drugs, treatment administration, management of adverse events, supportive care, and subsequent therapy. To address uncertainty, a probabilistic sensitivity analysis (PSA) and alternative scenarios were explored.

Results:

Both analyses suggested that the addition of pertuzumab resulted in increased life-years and quality-adjusted life-years (QALYs). The incremental cost per QALY ranged from $25,388 (CAD; NeoSphere analysis) to $46,196 (TRYPHAENA analysis). Sensitivity analyses further support the use of pertuzumab, with cost-effectiveness ratios ranging from $9230–$64,421. At a threshold of $100,000, the addition of pertuzumab was cost-effective in nearly all scenarios (93% NeoSphere; 79% TRYPHAENA).

Conclusion:

Given the improvement in clinical efficacy and a favorable cost per QALY, the addition of pertuzumab in the neoadjuvant setting represents an attractive treatment option for HER2-positive eBC patients.     

Threshold effect of international technology spillovers on China's regional economic growth

ABSTRACT

This study uses China's provincial panel data for 2003–2016 to estimate the turning point of technology spillovers promoting economic growth in the coastal and inland areas. The results show that the turning point in coastal areas is significantly higher than that in inland areas. However, improved absorptive capacity as a result of regional disparity increases the threshold of technology spillovers from promotion to suppression in inland areas but decreases it in coastal areas. Then, this study further tests the threshold characteristics of absorptive capacity factors influencing international technology spillovers using a double-threshold regression model and estimates the threshold values of both forward and reverse spillovers from the viewpoint of knowledge context, economic development, opening degree and human resources infrastructure. In conclusion, the effect of absorptive capacity factors on international spillovers is nonlinear, that is, when absorptive capacity factors are between the two threshold values, technology spillovers are maximised.     

Exploring the relationship between scenario planning and perceptions of strategic conversation quality

This study examines the construct of strategic conversation in a scenario planning context. After defining key terms and a conceptual framework for the strategic conversation, this study presents data gathered from individual participants in a scenario planning project. Data concerning perceptions of strategic conversation skills were collected pre-and post-scenario planning project, and then compared with a standard t-test. Conclusions are drawn and limitations are presented and discussed in depth. Recommendations for improving this research in future studies are also identified.     

The cost-effectiveness of alectinib in anaplastic lymphoma kinase-positive (ALK+) advanced NSCLC previously treated with crizotinib

Introduction Anaplastic lymphoma kinase (ALK) targeting drugs provide an important option for advanced non-small cell lung cancer patients with this distinct tumor type; however, there is considerable uncertainty as to which drug provides the optimal value after crizotinib treatment. This study estimated the cost-utility of alectinib vs ceritinib from a US payer perspective.

Methods A cost-utility model was developed using partition survival methods and three health states: progression-free (PF), post-progression (PP), and death. Survival data were derived from the key clinical trials (alectinib: NP28761 &; NP28673, ceritinib: ASCEND I and II). Costs included drugs, adverse events, and supportive care. Utilities were based on trial data and the literature. One-way and probabilistic sensitivity analyses (PSA) were performed to assess parameter uncertainty.

Results Treatment with alectinib vs ceritinib resulted in increases of 2.55 months in the PF state, 0.44 quality adjusted life-years (QALYs), and $13,868, yielding a mean cost/QALY of $31,180. In the PSA, alectinib had a 96% probability of being cost-effective at a willingness-to-pay of $100,000/QALY. Drivers of model results were drug costs and utilities in the PF health state. The ICER ranged from $10,600–$65,000 per QALY in scenario analyses, including a sub-group analysis limited to patients with prior chemotherapy and crizotinib treatment.

Conclusions Treatment with alectinib in ALK?+?crizotinib-treated patients increased time progression-free and QALYs vs ceritinib. The marginal cost increase was driven by longer treatment durations with alectinib. This model demonstrates that alectinib may be considered a cost-effective treatment after progression on crizotinib.